PATENT CLAIM ANALYSIS

Application Number: 16128972
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["358", "462000"]

Abstract:
An image processing apparatus including: an analysis unit configured to extract a text area by performing area division processing for a binary image obtained by binarizing the scanned image by a first binarization method; a determination unit configured to determine a binary image used in OCR processing; and a character recognition unit configured to perform the OCR processing by using the binary image determined by the determination unit for the text area extracted by the analysis unit, and the determination unit: in a case where a binary image used in the area division processing is suitable to the OCR processing, determines the binary image as a binary image used in the OCR processing; and in a case where a binary image used in the area division processing is not suitable to the OCR processing, generates a binary image by a second binarization method whose accuracy is higher than that of the first binarization method and determines the generated binary image as a binary image used in the OCR processing.

Claim (Index 9):
The image processing apparatus according to  claim 1 , wherein\n the first binarization method is a binarization method that uses a single threshold value, and the second binarization method is a binarization method that uses a plurality of threshold values.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 97.0
- Lexical Diversity: 3.06897
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['09838311', '14797748', '12821313', '10627644', '15377118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5382961636472509
- 35 USC 102 Novelty (BERT): 0.5069844953388745
- Combined Prediction Score: 0.5351649968164133
- Mean Citation Score: 215.438764
- Max Citation Score: 226.32825
- Similarity Product: 142.10398162794112

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

Dataset: test