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 13):
A method of image processing to acquire character information from a scanned image, the method comprising the steps of:\n extracting a text area by performing area division processing for a binary image obtained by binarizing the scanned image by a first binarization method; determining a binary image used in OCR processing; and performing the OCR processing by using the determined binary image for the extracted text area, wherein at the determination step:\n in a case where a binary image used in the area division processing is suitable to the OCR processing, the binary image is determined as a binary image used in the OCR processing; and \n in a case where a binary image used in the area division processing is not suitable to the OCR processing, a binary image is generated by a second binarization method whose accuracy is higher than that of the first binarization method and the generated binary image is determined as a binary image used in the OCR processing.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 97.0
- Lexical Diversity: 3.06897
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['09838311', '14797748', '12821313', '10627644', '15377118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5115195028967666
- 35 USC 102 Novelty (BERT): 0.4926082957559171
- Combined Prediction Score: 0.5096283821826817
- Mean Citation Score: 215.438764
- Max Citation Score: 226.32825
- Similarity Product: 166.27549245031182

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