PATENT CLAIM ANALYSIS

Application Number: 16195394
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["382", "176000"]

Abstract:
A method of performing character isolation in an optical character recognition process, the method comprising receiving image data representing one or more character columns, determining a number of black pixels in each column of the image data, defining a vertical separation threshold which is a maximum number of black pixels in a column, dividing the columns into different pixel groups and groups of excluded columns by excluding any columns with a number of black pixels below the vertical separation threshold, identifying the pixel group representing the left most character column in the image data, determining whether there are one or two pixel groups representing character columns in the image data and, if it is determined that there are two pixel groups representing character columns, using a predetermined width value for a right most character column in order to identify a right hand boundary of the right most character column.

Claim (Index 28):
The processor according to  claim 27 , wherein the processor is configured to define a second pixel group to the right of the left most group of excluded columns as the left most character column in the image data.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.19444
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15324506', '15113213', '15542508', '12431528', '09938804']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3494372004378648
- 35 USC 102 Novelty (BERT): 0.5548898343897448
- Combined Prediction Score: 0.3699824638330528
- Mean Citation Score: 255.64242200000004
- Max Citation Score: 446.93173
- Similarity Product: 293.0689448992145

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