PATENT CLAIM ANALYSIS

Application Number: 16112190
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 receiving a training data passage comprising a plurality of characters; for each respective font type of a plurality of font types:\n for reach respective font size of a plurality of font sizes:\n for each respective character in the plurality of characters:\n displaying the respective character alone in a character UI element in the respective font type and in the respective font size; \n capturing an image of the respective character as displayed in the character UI element; \n determining dimensions of the image of the respective character; and \n storing the dimensions of the image in a data structure, wherein the dimensions stored in the data structure are associated with the respective character.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 96.0
- Lexical Diversity: 1.81538
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15285552', '16111121', '13186173', '13770753', '10354811']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2907210968213926
- 35 USC 102 Novelty (BERT): 0.5216128291999248
- Combined Prediction Score: 0.3138102700592458
- Mean Citation Score: 227.966078
- Max Citation Score: 324.25
- Similarity Product: 276.4431738555432

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test