PATENT CLAIM ANALYSIS

Application Number: 16111121
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["382", "155000"]

Abstract:
Systems of the present disclosure generate accurate training data for optical character recognition (OCR). Systems disclosed herein generates images of a text passage as displayed piecemeal in a user interface (UI) element rendered in a selected font type and size, determine accurate dimensions and locations of bounding boxes for each character pictured in the images, stitch together a training image by concatenating the images, and associate the training image, the bounding box dimensions and locations, and the text passage together in a collection of training data. The collection of training data also includes a computer-readable master copy of the text passage with newline characters inserted therein.

Claim (Index 15):
A non-transitory computer-readable storage medium comprising instructions for performing a method of generating training data for optical character recognition (OCR), the method comprising:\n selecting a character located in a line of text; displaying a truncated line of text consisting of the selected character and any characters that precede the selected character in the line of text in a single-line user-interface (UI) element; determining a width used by the single-line UI element to display the truncated line of text; determining a width of a bounding box associated with the selected character; determining a first coordinate of a position of the bounding box for the selected character based on the width of the single-line UI element and the width of the bounding box associated with the selected character; and storing the first coordinate as training data for optical character recognition.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.81538
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15285552', '13186173', '13672802', '14812558', '13458654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3063187074592897
- 35 USC 102 Novelty (BERT): 0.5270103996330712
- Combined Prediction Score: 0.3283878766766678
- Mean Citation Score: 205.32226400000005
- Max Citation Score: 348.65552
- Similarity Product: 286.71770690963746

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