Patent GB-982990-A (GB)
Title: Optical specimen identification filtering techniques
IPC: G06V10/20
Filed: 1961-10-06
Abstract: 982, 990. Automatic character reading. INTERNATIONAL BUSINESS MACHINES CORPORATION. Oct. 6, 1961 [Oct. 24, 1960], No. 35976/61. Heading G4R. In character recognition apparatus optical means are used to generate a pattern of light representing the character and invariant of its position of registration and the pattern is compared for recognition with reference marks bearing reference patterns, the light pattern or the mask pattern or both being modified to accentuate features by which the recognition is to be made. In the form of Fig. 1 a polychromatic source of light 2 is directed towards a half-silvered mirror 4 which reflects light through a collimating lens 6 towards a positive or negative transparency 8 bearing the character 10. Mirror 12 returns the light through the transparency, the lens 6 and the half-silvered mirror to form the auto-correlation pattern 14 of the character on a screen 16. The pattern 14 which is registration invariant, is, in one embodiment, passed through a filter 18 to give a modified pattern 20 on screen 22. This pattern is simultaneously compared with each of a group of reference patterns (similarly modified auto-correlation patterns of expected characters A, B, C-L) by being projected by an array of lenses on to twelve transparency masks on plate 28 each having a photo-cell 32 to receive the transmitted light. Normalising filters are interposed behind each mask adjusted so that a perfect match always gives the same output irrespective of the character matched. The twelve outputs EA-EL are compared by subtracting in all possible pairs and the line having the highest signal line is isolated as a signal on one of the output leads. Instead of simultaneous comparison the masks may be serially compared. Or the light intensity at particular points in the pattern 20 may be sensed by photo-cells and compared with reference intensities to identify the character. The filter 18, Fig. 1a in effect serves to multiply the auto-correlation pattern, expressed as a matrix of intensities as in Fig. 9 (for "A", Fig. 8), by a matrix pattern:- This averages or smooths the pattern, producing a pattern as shown in Fig. 12. The whole modification may be applied to the light pattern or the mask pattern by using a modifying filter which is the auto-correlation pattern of this matrix. This filter, Fig. 1b, has sections of different transparency represented by the matrix: Using the Fig. 1b filter the reference masks may be unmodified auto-correlation patterns (Fig. 9) or the filter 18 may be removed, the reference masks being modified by the filter Fig. 1b. In any case the masks may be generated by photographing the screens 16, for an unmodified pattern, or 22, for a modified pattern or by an artist using computed data. The form of Fig. 2 is similar but uses two optical channels. The filter 18, has two patterns to produce two modified auto-correlation patterns 20. One of these is treated as positive and the other as negative. They are each compared with an array of reference masks on plate 28 and the associated photo-cells 32 again produce signals indicating the degree of match. The signals from corresponding photo-cells in the two arrays are subtracted in difference amplifiers 42. The highest output is found as before to identify the character. The subtraction of the two patterns 20 would produce a pattern of the kind shown in Fig. 15, but this difference pattern does not exist anywhere in the optical system. The operation is the same as if negative as well as positive filtering were possible and the resulting pattern was applied to a reference mask as shown in Fig. 15. The filters 18 are represented by:- When added subtractively the following pattern is obtained The filters of Fig. 2a together form the auto-correlation pattern of this matrix and are adapted to embody the whole necessary modification in the projected pattern so that unmodified auto-correlation pattern masks can be used to represent the reference characters, or alternatively the autocorrelation pattern from the character can be used without modification while the masks are modified by the patterns of Fig. 2a. The auto-correlation patterns can be generated by an optical system using Fraunhofer diffraction patterns, the pattern derived being modified as before by a filter 18. If the whole modification is to be introduced into the character auto-correlation pattern or into the reference pattern a modifying filter is used which is represented by a matrix which is the square of the first matrix rather than the auto-correlation pattern of it. Specification 982,989 is referred to.