PATENT CLAIM ANALYSIS

Application Number: 15895199
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["235", "462100"]

Abstract:
The invention provides a decoding method and system for a QR code with one damaged position detection pattern. The decoding method comprises the steps: binarizing a received image containing a QR code pattern and searching for position detection patterns, decoding the QR code pattern through the following method if two position detection patterns are searched out, recording the linear equations of the boundaries of the two position detection patterns and the vertex coordinates of the two position detection patterns and calculating the data bit width of the QR code pattern, searching out a location pattern between the two position detection patterns with the positional relation determined, determining the region where the QR code pattern is located according to the two position detection patters and the location pattern, partitioning the region where the QR code pattern is located with grids, and decoding the QR code pattern partitioned with grids.

Claim (Index 2):
The decoding method for the QR code with one damaged position detection pattern according to  claim 1 , characterized in that the data bit width of the QR code pattern is calculated, specifically,\n the side width of the position detection patterns are worked out according to the linear equations of the boundaries of the two position detection patterns and the vertex coordinates of the two position detection patterns; the quotient obtained by dividing the side width of the position detection patterns by seven is regarded as the data bit width of the QR code pattern.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 88.0
- Lexical Diversity: 2.49206
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12628425', '14102654', '14102916', '15051354', '15895986']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.619750674483176
- 35 USC 102 Novelty (BERT): 0.4833671165133409
- Combined Prediction Score: 0.6061123186861925
- Mean Citation Score: 232.86036400000003
- Max Citation Score: 253.91182
- Similarity Product: 198.4613979144347

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