PATENT CLAIM ANALYSIS

Application Number: 15900300
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-07
Patent Classification: ["382", "177000"]

Abstract:
This disclosure relates generally to optical character recognition (OCR), and more particularly to system and method for positioning characters in output text after performing OCR. In one embodiment, a method is provided for performing OCR. The method includes receiving a textual image, and extracting one or more character images along with one or more corresponding position indices from the textual image. A position index of a character image may include a line number, a word number, and a character number of the character image within the textual image. The method further includes determining one or more characters corresponding to the one or more character images using an OCR algorithm, and generating a text by positioning the one or more characters based on the one or more position indices of the one or more corresponding character images.

Claim (Index 8):
The method of  claim 3 , wherein extracting the one or more character images along with one or more corresponding character numbers comprises:\n analyzing each of the one or more word images to determine one or more contiguous stretches of vertical non-textual spaces, wherein each of the one or more contiguous stretches of vertical non-textual spaces comprises a number of vertical non-textual bins, and wherein each of the vertical non-textual bins consists of non-text pixels; determining a mean horizontal coordinate of the non-text pixels in each of the one or more contiguous stretches of vertical non-textual spaces; segmenting the word image into one or more character images based on the mean horizontal coordinate of each of the one or more contiguous stretches of vertical non-textual spaces; and storing each of the one or more character images along with a corresponding line number, a corresponding word number, and a corresponding character number.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 88.0
- Lexical Diversity: 2.29231
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12852189', '14746198', '13309471', '13309461', '15012368']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3551022128357837
- 35 USC 102 Novelty (BERT): 0.4910043848294008
- Combined Prediction Score: 0.3686924300351454
- Mean Citation Score: 208.045388
- Max Citation Score: 216.54114
- Similarity Product: 155.5749392675221

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