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 2):
The computer program product as recited in  claim 1 , the program code readable and/or executable by the processor to identify the one or more connected components further comprising program code readable and/or executable by the processor to:\n determine a connectedness of the one or more connected components in the component map; determine whether each of the one or more connected components corresponds to a particular class of components based on the connectedness thereof, 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; and label 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): 0.2665950748343262
- 35 USC 102 Novelty (BERT): 0.5528166689971926
- Combined Prediction Score: 0.2952172342506128
- Mean Citation Score: 197.680372
- Max Citation Score: 399.4374
- Similarity Product: 365.7309790948032

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