PATENT CLAIM ANALYSIS

Application Number: 15910797
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "209000"]

Abstract:
Computer program products for discriminating hand and machine print from each other, and from signatures, are disclosed and include program code readable and/or executable by a processor to: receive an image, determine a color depth of the image; reducing the color depth of non-bi-tonal images to generate a bi-tonal representation of the image; identify a set of one or more graphical line candidates in either the bi-tonal image or the bi-tonal representation, the graphical line candidates including true graphical lines and/or false positives; discriminate any of the true graphical lines from any of the false positives; remove the true graphical lines from the bi-tonal image or the bi-tonal representation without removing the false positives to generate a component map comprising connected components and excluding graphical lines; identify one or more of the connected components in the component map; and output and/or display and indicator of each of the connected components.

Claim (Index 16):
A computer program product, comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code readable and/or executable by a processor to:\n receive an image; determine a color depth of the received image, the color depth corresponding to at least one of grayscale, bi-tonal and color; reduce color depth of the received image to generate a bi-tonal representation of the image in response to determining the color depth of the received image is not bi-tonal; identify a set of one or more graphical line candidates in either the bi-tonal image or the bi-tonal representation, the graphical line candidates including one or more of true graphical lines and false positives; discriminate any of the true graphical lines from any of the false positives; remove the true graphical lines from the bi-tonal image or the bi-tonal representation without removing the false positives to generate a component map comprising connected components and excluding graphical lines; identify one or more of the connected components in the component map, the identifying further comprising:\n determining a connectedness of the one or more connected components in the component map, wherein determining the connectedness of the one or more connected components comprises determining, for each of the one or more connected components, a number of connected component transitions across a vertical threshold position; \n determining whether each of the one or more connected components corresponds to a particular class of components based on the connectedness of each of the one or more connected components, wherein the class of components to which each of the one or more connected components corresponds is selected from unknown, handwritten characters, signature, and machine-printed characters, wherein the particular class to which the connected component corresponds is determined to be a signature in response to determining the number of connected component transitions is at least 5; and \n labeling each of the one or more connected components based on the particular class of components to which the connected component corresponds.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 2.28169
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14726335', '13872172', '15226928', '10163218', '12346071']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2656289195337634
- 35 USC 102 Novelty (BERT): 0.5543760030818966
- Combined Prediction Score: 0.2945036278885767
- Mean Citation Score: 197.680372
- Max Citation Score: 399.4374
- Similarity Product: 395.19604225265977

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test