APPARATUS FOR IDENTIFYING POSTAGE STAMPS

Abstract: The postage stamp identifying apparatus extracts color characteristic patterns of the stamp as a feature vector from a stamp, and the detected color characteristic pattern of the stamp is compared with each of standard color characteristic patterns prepared before-hand for known stamps. This apparatus for identifying postage stamps does not require any limitation of design of the stamps.

Description: The present invention relates to a mail processing apparatus, and more particularly, to an apparatus for identifying postage stamps which identifies postage stamps by color information contained in the stamps. An automatic mail processing apparatus has been developed in which postage stamp affixed on a mail article is detected and a type (kind) of the detected stamp is identified so as to determine a type of the mail article (ordinary mail or express mail) and whether or not its postage is appropriate. According to a prior art, postage stamps are generally detected by a method which relies on luminescence of luminescent stamps, such as fluorescent or phosphorescent stamps, or a method which relies on a special mark printed on each stamp, or a method which relies on predetermined color of each stamp. However, the first method has a disadvantage in that the cost of producing the stamps is increased, and the other methods suffer from a problem in that the design of the postage stamps is limited. In Japan, each regular postage stamp has a frame of a specific color associated with its postage, and this specific color frame is detected to determine the type of the postage stamp. This method also restricts the design of the stamps. All the stamps including commemorative stamps must have a specific color frame. Stamps having no specific color frame cannot be detected in the prior art processing apparatus. An apparatus for sorting sheets, in particular for sorting bank notes in accordance with the printed patterns is described in EP-A-0 078 708. This apparatus comprises scanning means for collecting light from a plurality of illuminated pixels of the pattern, an analogue-to-digital converter responsive to signals from the scanning means representative of the intensity of light from each pixel, to produce intensity signals in digital form, a digital memory for storing the digital signals and digital correlator means for correlating the stored signals with a previously-stored set of signals representative of a set of standard patterns, the correlation being performed pixel by pixel. The pixel signals derived from the examined sheet may have more than two values, i.e. various values in a grey scale or a colour component scale for pattern component correlation. In US-A-3,488,511 an automatic identifying apparatus of postage stamp indications is described. This apparatus comprises at least two substantially identical optical systems, each including a light source, at least two colour filters having a different spectral transmission for separating light rays reflected from a portion of a postage stamp and photoelectric light receivers corresponding to respective ones of said colour filters for receiving the light rays passed by said colour filters and generating corresponding signals. The apparatus further comprises an electrical system including detecting and converting means coupled to said light receivers for converting said electrical signals into respective colour characteristic signals. The colour characteristic signals are provided to a plurality of AND gates and an AND matrix circuit to derive postage stamp indication signals corresponding to said postage stamp indication. Accordingly, an object of the present invention is to provide an apparatus for identifying postage stamps which does not require any limitation of design of the stamps. This object is solved by the features of claim 1. The present invention is based on the idea to provide a postage stamp identifying apparatus, in which color characteristic patterns of the stamp are extracted as a feature vector from a stamp, and the detected color characteristic pattern of the stamp is compared with each of standard color characteristic patterns prepared beforehand for known stamps. BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 shows divided portions on a stamp to be used for color characteristic pattern extraction performed in the present invention; Fig. 2 (a) is an enlarged view of one divided portion of Fig. 1; Fig. 2 (b) shows distribution of weights in the portion of Fig. 2 (a); Fig. 3 illustrates a block diagram of a first embodiment of the present invention; Fig. 4 illustrates an arithmetic circuit in the first embodiment shown in Fig. 3; Fig. 5 illustrates distribution of weights employed in a convolution circuit in the first embodiment shown in Fig. 3; Fig. 6 illustrates the convolution circuit in the first embodiment shown in Fig. 3; Fig. 7 illustrates a latch circuit in the convolution circuit shown in Fig. 6; Fig. 8 illustrates a featuring circuit in the first embodiment shown in Fig. 3; Fig. 9 illustrates a judging circuit in the first embodiment shown in Fig. 3; Fig. 10 illustrates a distance calculating circuit in Fig. 9 in which Mahalanobis' distance is used; Fig. 11 illustrates a featuring circuit in a second embodiment of the present invention; Fig. 12 illustrates distribution of weights employed in a third embodiment of the present invention; Fig. 13 illustrates a block diagram of a third embodiment of this invention; Fig. 14 illustrates a block diagram of a fourth embodiment of the present invention; Fig. 15 illustrates a diagram of a fifth embodiment of the present invention; Fig. 16 illustrates a diagram of a sixth embodiment of the present invention; Fig. 17 illustrates a diagram for extracting red (R), green (G) and blue (B) components from an output of scanning means; Fig. 18 illustrates a diagram of a scanner which extracts respective color distribution signals at different positions on a stamp; Fig. 19 illustrates a diagram of a seventh embodiment of the present invention in which line sensor arrays are employed as a sensor; Fig. 20 illustrates a diagram for explaining the operation of the seventh embodiment shown in Fig. 19; and Fig. 21 illustrates a diagram of an eighth embodiment of the present invention. DESCRIPTION OF THE PREFERRED EMBODIMENTS The function of the present invention will be described below by referring to Figs. 1, 2(a) and 2(b). In the present invention, the image of a postage stamp is divided into several image portions p, as shown in Fig. 1, and the color distribution in each image portion is described by color moment in the color space so as to identify the stamp pattern. The method of calculating the color moment in each image portion will now be described by referring to Fig. 2. An image at a position (x, y) is detected by a sensor having n spectral sensitivities, and the sensor generates signals f₁(x, y), f₂(x, y), ..., f i (x, y) ..., f n (x, y) (i = 1, ..., n). Generally, a color sensor has sensitivities of red light (R), green light (G), and blue light (B), and the outputs of the sensor, f₁, f₂, and f₃, are therefore signals representing a red image R(x, y), a green image G(x, y), and a blue image B(x, y). At this point, the color moment M k (x₀, y₀) (k = 1 ..., m) of the image portion p whose center is at (x₀, y₀) is defined by the following Expression (1): where S₀ is a region occupied by the image portion p, and ω(x-x₀, y-y₀) is a weight in case the center is at (x₀, y₀). The weight is generally higher near the center and lower near the periphery, as shown in Fig. 2(b). As can be seen from the above definition, if and ρ₁ = 1, τ₁ = β₁ = 0; M₁(x₀, y₀) means a weighted average of the red image centered at (x₀, y₀). Similarly, if ρ₂ = 0, τ₂ = 1, β₂ = 0, and ρ₃ = τ₃ = 0, β₃ = 1; M₂(x₀, y₀) and M₃(x₀, y₀) mean weighted averages of the green image and blue image, respectively. If ρ₄ = 2, τ₄ = β₄ = 0, and ρ₅ = 0, τ₅ = β₅ = 1; In order to make the color moments M₄ and M₅ uncorrelated to the color moments M₁, M₂, the color moments M₃, M₄ and M₅ are made to be the variance of the red image and the covariances of the green and blue images, respectively, and are set by: M₄'(x₀, y₀) ≡ M₄(x₀, y₀) - M₁²(x₀, y₀) M₅'(x₀, y₀) ≡ M₅(x₀, y₀) - M₂(x₀, y₀) · M₃(x₀, y₀) (2) In consequence, the color distribution for the image portion centered on (x, y) is expressed by the following features: {g i } (i = 1, ..., 5) where g₁(x, y) = M₁(x, y), g₂(x, y) = M₂(x, y), g₃(x, y) = M₃(x, y), g₄(x, y) = M₄'(x, y), and g₅(x, y) = M₅' (x, y) . If the image is divided into five image portions p, as shown in Fig. 1, and the entire image is expressed as a set of color distributions of these image portions, the color distribution of the entire image can be expressed in the same way by feature vector: {h j } (j = 1, ..., 25), To identify N types (kinds) of postage stamps using the feature vector, N features vectors, {h j } corresponding to the respective stamp patterns of N type are extracted beforehand and stored as reference (dictionary) feature vectors {h j ℓ } (ℓ = 1, ..., N). The distance d ℓ between the feature vector {h j } obtained by scanning an unknown stamp and the dictionary feature vectors {h j ℓ }, is then calculated. Any of known methods employed in general pattern recognition apparatus can be employed to calculate the distance d ℓ . If the distance is calculated by using Euclidean distance in the feature vector space, the following expression is calculated: Similarly, if Mahalanobis' distance is employed, the following expression is calculated: where h and h ℓ are the column vectors of {h j } and {h j ℓ }, and S ℓ is the covariance matrix of {h j } which have been obtained beforehand by scanning various known stamp patterns. If there is a stamp of the ℓ-type with the image input position (x', y') as the center thereof, the distance d ℓ becomes a very small value. Therefore, a threshold value T ℓ is set for each type of stamps, and the following condition is checked to detect the presence of ℓ-type of the stamp centered on the position (x', y'): d ℓ < T ℓ (6) In addition, when Mahalanobis' distance is employed, any variation in the feature vector is included in the distance, and a threshold value T ℓ can therefore be made a constant which does not vary in accordance with the type of stamp. Although any set of components defining the feature vector {h j } can be selected depending on how color moment is selected, it is effective to normalize the color moment in terms of change in the amount of light of the illumination. Illumination of the scanner varies with time, and the brightness of the illumination supplied when a dictionary feature vector is extracted may be different from that supplied when an unknown postage stamp is scanned. This variation in brightness changes the color moment, reducing the recognition accuracy. Accordingly, in order to prevent such disadvantage the feature vector can be normalized by using the brightnesses of the components, as follows: where M ₁, M ₂ and M ₃ are, respectively, averages of M₁, M₂ and M₃ at their respective center positions, and are expressed by: The above normalization decreases degree of freedom, and, as a result, the feature vector {h j } (j = 1, ..., 20) of the entire image can be determined as follows: The distance d ℓ between the feature vectors {h j } and {h j ℓ } is then defined in the same manner as that in Expressions (4) and (5) so as to identify the stamp pattern by Expression (6). Further, more accurate recognition is possible by utilizing color moments of higher order beyond the first order and the second order described above. On the other hand, if the stamp pattern to be detected is not very complicated, it is possible to identify a stamp pattern by using the color moment of first order, i.e., the weighted averages of primary colors R, G and B. In this case, only linear weighted average of the R, G, and B color signals are employed, and it is not therefore necessary to perform the convolution operation of Expression (1). Furthermore, in this case, equivalent result of the weighted average calculation is easily obtained by setting up a scanner out of focus. A first embodiment of the present invention will now be described with reference to Fig. 3. A stamp pattern 1 is scanned by a sensor 2 and band channels employed in the embodiment for imaging are R (red), G (green), and B (blue). Three primary color signals R, G, and B which are generated by the sensor 2 are digitized for picture elements, and are input to an arithmetic circuit 3. The arithmetic circuit 3 calculates the product portion of Expression (1), i.e., for each picture element. For example, the arithmetic circuit 3 outputs the following five values: R(x, y) when ρ₁ = 1, τ₁ = β₁ = 0, G(x, y) when ρ₂ = 0, τ₂ = 1, β₂ = 0, B(x, y) when ρ₃ = τ₃ = 0, β₃ = 1, R(x, y)² when ρ₄ = 2, τ₄ = β₄ = 0, and G(x, y) · B(x, y) when ρ₅ = 0, τ₅ = β₅ = 1. The arithmetic circuit 3 is constructed as shown in Fig. 4. In this circuit 3, the R, G, and B signals are delivered as they are. However, the R² and G·B signals are respectively calculated by a multiplier 301 and a multiplier 302 before being output from the arithmetic circuit 3. The signals from the arithmetic circuit 3 are supplied to respective convolution circuits 4. Each convolution circuit 4 multiplies the corresponding signal by the weights ω shown in Fig. 5, and adds up these products. The arrangement of each convolution circuit 4 will now be described in detail by referring to Figs. 5 to 7. In the embodiment, thirty-seven signal values of thirty-seven picture elements in the image portion are weighted by W₁, W₂, ..., W₃₇ as shown in Fig. 5 and added to obtain a value for a signal value of the picture element at the center of the image portion. Each convolution circuit 4 is constructed as shown in Fig. 6. In the circuit 4, latch circuits 401 are labelled by L₁ to L₃₇. Each latch circuit retains the signal value of one picture element in synchronism with the scanning of the stamp pattern. Further, each latch circuit 401 is constructed as shown Fig. 7. In Fig. 7, each picture element signal value is retained in a latch 4011, and is output to the subsequent latch circuit. A multiplier 4013 multiplies it by the corresponding weight (W₁, W₂, ..., W₃₇) stored in a weight storage 4012. When the entire stamp pattern is scanned sequentially in the manner shown by an arrow in Fig. 5, the output signal in sequentially supplied to the latch circuits L₃₇ to L₁ as the scanning proceeds. When the first picture element signal value has been retained in the latch circuit L₁, the latch circuits L₂ to L₃₇ have retained respective picture element signal values. Then, these picture element signal values are multiplied with the respective weights shown in Fig. 5 and the multiplied results of each line are supplied to respective adders 403. The added results of respective lines are supplied to an adder 404. Delay circuits 402 are provided to adjust the timing of picture elements signals over two lines. For example, the delay circuit D₁ in Fig. 6 delays signals for a time corresponding to (T₁ + T₂) of Fig. 6 during which the scanning is shifted from the position of W₃ to the position of W₄. Consequently, the adder 404 adds up all the weighted picture element signal values and outputs the result of Expression (1). Referring back to Fig. 3, color moments M₁ to M₅ from the convolution circuits 4 correspond to the color distribution of one image portion (for example, the one centered on (x₀, y₀)) shown in Fig. 1. In order to identify the stamp pattern by the feature vector {h j } shown in Expression (3) which is produced from the five image portions shown in Fig. 1, the color moments M₁ to M₅ must each be delayed by a time which corresponds to the distance among the image portions. This operations are carried out by delay circuits 5. Consequently, color moments M₁ to M₅ obtained for each image portion are then supplied to a featuring circuit 6. In this case, if these color moments are employed as they are as the feature vector, the featuring circuit 6 can be eliminated. However, the color moments M₄ and M₅ are transformed into the other color moments M₄' and M₅' which are uncorrelated with the color moments M₁ to M₃, as described previously, and the featuring circuit 6 calculates Expressions (2) to obtain the feature vector {h j }. As shown in Fig. 8, the featuring circuit 6 includes multipliers 601 and subtractors 602, and each pair of one multiplier and one subtractor perform the calculations of Expressions (2) for each image portion. A judging circuit 7 determines a distance between the feature vector {h j } obtained from a scanned stamp pattern and the dictionary feature vectors {h j ℓ } (ℓ = 1, 2, ..., N) of known stamp patterns which have been stored beforehand, and thereby identifys the stamp and outputs a recognition signal. The judging circuit 7 is constructed as shown in Fig. 9. In this Figure, the feature vector {h j } is supplied to distance calculation circuits 701, and these circuits 701 calculate squares of the distance d ℓ ² by Expression (4) or (5) with respect to respective dictionary feature vectors, i.e., known stamp pattern. Comparing circuits 702 compare the respective thus-obtained distances with corresponding threshold values. The comparing circuits 702 delivers output signals when Expression (6) is satisfied. The encoder 703 detects which comparing circuit 702 has delivered the output signal, and delivers the recognition signal representative of an identified stamp. Fig. 10 shows an example of the distance calculating circuit 701 in which Mahalanobis' distance is calculated. In Fig. 10, a dictionary storage 7011 stores the dictionary feature vector {h j ℓ} of ℓ-type stamp, and a matrix storage 7012 stores the inverse matrix S -1 / ℓ of the covariance matrix for the dictionary feature vector. As described above, the stored dictionary feature vector {h j ℓ } and the inverse matrix S -1 / ℓ are previously obtained by scanning the known stamp of the ℓ-type. Subtraction circuit 7013 delivers difference between the feature vector {h j } and the dictionary feature vector {h j ℓ } by element-to-element base. An inner product calculation circuit 7014 calculates the inner products of the subtraction results and the matrixes are stored in the matrix storage circuits 7012. To simplify the explanation, Fig. 10 shows a matrix storage means of five matrixes. However, in the given example, S -1 / ℓ is a 25 x 25 matrix, and calculations of the inner products of 25 matrixes are required in practice. Consequently, vectors having the components of the number of matrixes are obtained, and an inner product calculation circuit 7015 obtains the inner products of these vectors and the outputs of the subtraction circuits 7013 so as to obtain d 2 / ℓ. A second embodiment of the present invention will be described below. In the second embodiment, the feature vector {h j } is normalized by Expression (7) and the normalized feature vector is applied to the distance calculation. The arrangement of this embodiment is the same as that of the first embodiment of Fig. 3 except for the featuring circuit 6. Fig. 11 shows construction of the featuring circuit 6 employed in the second embodiment. Similar to the first embodiment, the multiplier 601 and the subtractor 602 obtains color moments M₁ to M₃ and M₄' and M₅' for each image portion in Fig. 1 from the input color moment M₁ to M₅. Averaging circuits 603 calculate the averages M ₁ to M ₃ of M₁ to M₃ of all the image portions on the bases of Expression (8). These averages are used for normalization. First order normalization circuits 604 determine g₁ to g₃ for each image portion by dividing M₁ to M₃ by M ₁ to M ₃, as shown by Expression (7). Second order normalization circuits 605 determine g₄ and g₅ by dividing M₄' by M ₁ twice, and by dividing M₅' by M ₂ and M ₃, respectively. In the second embodiment, since the degree of freedom of the feature vector is decreased by the normalization, the feature vector corresponding to the position (x₀, y₀) is eliminated, and the feature vector {h j } containing elements g₁ to g₂₀, which are shown in Expression 9, is obtained. The construction of other parts of this embodiment is therefore the same as that of the first embodiment shown in Fig. 3. However, it is to be noted that in the case of using the Mahalanobis' distance, the distance calculation circuit 701 is constructed such that the size of the matrix storage 7012 corresponds to the number of elements in the feature vector. A third embodiment of the present invention will be described referring to Fig. 13. In this embodiment, color moments of higher-order is not required. Such embodiment may be realized by eliminating the convolution for R² and G · B components in the first embodiment. However, in the third embodiment, instead of performing the complicated calculations of the convolution for R, G, and B primary color signals, the same function is performed by modifying a optical scanning part. Namely, a stamp pattern is optically defocused relative to the sensor, i.e., a scanner is disposed out of focus, so that weighting operation shown in Fig. 12 can be easily performed. Operation of the third embodiment will now be described. In Fig. 13, when a sensor 2 scans a stamp pattern 1, the sensor outputs R, G, and B color signals as image data. At this time, since the stamp pattern relative to the sensor 2 is out of focus, color moments M₁, M₂ and M₃ for each image portion can therefore be obtained without calculations of the convolution. The delay circuits 5 delay the M₁ to M₃ to obtain color moments for all the image portions which are in a fixed positional relationship to one another, and the feature vector {h j } is produced. The feature vector {h j } is then supplied to the judging circuit 7 to identify the stamp pattern. A fourth embodiment of the present invention will be described below, in which the feature vector obtained in the third embodiment is normalized before being supplied to the judging circuit. Fig. 14 shows a structure of the fourth embodiment. A featuring circuit 6 is added to the structure shown in Fig. 13 to carry out the normalization. Since the featuring circuit 6 calculates g₁ to g₃ indicated by Expression (7) for each image portion the featuring circuit 6 of the fourth embodiment is realized by eliminating circuit elements for processing the color moments M₄ and M₅ in the featuring circuit 6 shown in Fig. 11 (including the multipliers 601 and subtractors 602). A fifth embodiment of the present invention will be described referring to Fig. 15. In the third embodiment of Fig. 13, the sensor 2 senses only one portion at one moment, and simultaneous observation of a plurality of the image portions is virtually realized by using the delay circuits 5. In the fifth embodiment, this can be realized by actually using a plurality of color sensors, as illustrated in Fig. 15. In the figure, respective sensors 8 sense the corresponding image portions. Five sets of primary color signals delivered from the respective defocused sensors 8 are supplied to a judging circuit 7 as the feature vector {h j }. The judging circuit 7 is constructed as shown in Fig. 9. A sixth embodiment of the present invention shown in Fig. 16 will be described below. The operation of this embodiment is exactly the same as that of the fifth embodiment except that normalization is carried out. A featuring circuit 6 is therefore added to the structure shown in Fig. 15. The feature vector {h j } is obtained through the featuring circuit 6 in the same manner as in the fourth embodiment, and the feature vector {h j } is processed in the same manner. Fig. 17 shows construction for extracting R, G and B color signals from one scanning output. In Fig. 17, light from the scanned surface is supplied through a lens 9 to splitters 10 and 11, each for separating light having a predetermined wavelength. Light of R component, B component, and G component separated by the splitters 10 and 11 are respectively supplied to photoelectric elements 12, 13 and 14 so as to deliver R, B and G color signals. In the embodiments shown in Figs. 3, 14 and 15, scanning operation consists of a horizontal scanning and a vertical scanning. A mechanical scanning mirror or a line sensor is employed for horizontal scanning, while a mechanism for shifting a surface to be scanned is employed for vertical scanning. In the embodiments shown in Figs. 15 and 16, five sensors simultaneously sense corresponding image portions on the stamp during a scanning. In these cases, conventional scanning mechanisms can be employed to carry out such scanning, and Fig. 18 shows one example thereof. Light from a scanned surface 2 is supplied through a lens 9 and a mirror 15 to five sensors 16. The mirror 15 is turned about the center thereof to horizontally scan the surface, and the scanned surface is shifted in the vertical direction. Fig. 19 shows a seventh embodiment in which scanning is performed by a line sensor. In this embodiment, three sensor array are employed to carry out the horizontal scanning electronically. The surface to be scanned is mechanically moved for vertical scanning. The sensor arrays 17, 18 and 19 are the line sensor arrays which produce red, green and blue color signals, respectively. To this end, the sensor arrays receive red, green, and blue light components from a scanning line L, respectively. The output signals of the sensor arrays are digitized by corresponding A/D converters 20. Generally, a line sensor includes a large number of sensing elements, for example, 256 sensing elements. In this embodiment, delay circuits 21 to 24 are also employed to virtually sense five image portions. The operation of these delay circuits is described by referring to Fig. 20. The x-marks numbered 27 to 31 in this figure indicate the center positions of five image portions. Assuming that the stamp pattern is scanned in the direction shown by the arrow, the position 27 is sensed when the sensor array is located relatively at a location 32. If outputs of the sensing elements in the sensor array are transferred from the left side to the right side, width d₁ in the sensor array is scanned while the sensor array is located at the location 32. The surface to be scanned is then shifted while the sensor array continues to be scanned horizontally. This moves the sensor array relatively from the location 32 to the location 33. Width d₂ of the sensor array is then scanned to sense the position 28. The delay circuit 21 delays the outputs of the sensor array by a time which corresponds to this duration. Similarly, the delay circuit 22 delays the outputs by a time during which width d₃ from the position 28 to the position 29 is scanned, and the delay circuit 23 delays the outputs by a time during which width d₄ from the position 29 to the position 30 is scanned. Further, the delay circuit 24 delays the outputs by a time during which width d₅ is scanned and the sensor array is vertically moved from the relative location 33 to the relative location 34. In this period, width d₆ is scanned. These delay circuits 21 to 24 ensure the similar effect performed by the previous embodiments. Distance calculation circuits 25 and comparing circuits 26 operate in the same way as shown in Fig. 9. A control circuit 27 receives the detection signal from the comparison portions 26, and outputs recognition signal. The control circuit 27 also produces horizontal control signals for the sensor arrays 17 to 19 and a vertical control signal for vertically driving the surface. Fig. 21 shows an eighth embodiment in which a normalization circuit 6 in further added. In the embodiments shown in Figs. 19 and 21, if a plane sensor array is employed instead of the line sensor array, both horizontal and vertical scanning can be performed in an electronical manner.

Claims: An apparatus for identifying a postage stamp to be scanned with known postage stamps, comprising: means (2, 8, 17, 18, 19) for scanning said postage stamp. means (3, 4, 5, 6, 21 to 24 ) responsive to the output of said scanning means (2, 8, 17, 18, 19) for producing a feature pattern, said feature pattern being defined by a plurality of color component signals corresponding to color components contained in the output of said scanning means (2, 8, 17, 18, 19) and being predetermined for predetermined two-dimensional regions located at different positions on the scanned stamp, and means (7) for comparing said feature pattern produced by said feature pattern producing means with a dictionary feature pattern obtained beforehand for each of said known postage stamps, characterized in that said feature pattern producing means includes means (4) for weighting said color component signals by weights two-dimensionally determined in correspondence with said predetermined region to obtain distribution of said respective color component signals for each of said predetermined regions. An apparatus for identifying a postage stamp as claimed in claim 1, wherein said weighting means includes means for defocusing said scanning means (2, 8, 17, 18, 19) to said postage stamp to be scanned. An apparatus for identifying a postage stamp as claimed in claim 1, wherein said scanning means (8) includes a plurality of scanners (8) for simultaneously scanning said postage stamp at two-dimensionally different positions on said postage stamp to produce said feature pattern predetermined for predetermined two-dimensional regions located at different positions on said scanned stamp. An apparatus for identifying a postage stamp as claimed in claim 3, wherein said weighting means includes means for defocusing said plurality of scanners (8) to said postage stamp. An apparatus for identifying a postal stamp as claimed in claim 1 or 2, wherein said scanning means includes a plurality of sensor array means (17, 18, 19) corresponding to the respective color components to deliver said color component signals. An apparatus for identifying a postage stamp as claimed in any of claims 1 to 5, wherein said feature pattern producing means includes delaying means (5, 21 to 24) for delaying said color component signals to produce delayed color component signals, a set of said color component signals and said delayed color component signals corresponding to said feature pattern predetermined for predetermined two-dimensional regions located at different positions on said scanned stamp. An apparatus for identifying a postal stamp as claimed in any of claims 1 to 6, characterized by further including means (6 ) for normalizing said feature pattern in accordance with the level of the output of said scanning means (2, 8, 17, 18, 19).

Inventors: TAJIMA, JOJI
Applicants: NEC CORPORATION
Application year: 1987
Main classification: G07D7
IPC codes: G07D7, B07C3, G06K9