PATENT CLAIM ANALYSIS

Application Number: 16114230
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["235", "462100"]

Abstract:
A barcode identification method includes generating a binarization barcode by using a binarization process from a sampled barcode, acquiring a first region from the binarization barcode, acquiring a first narrow element width from the first region, acquiring a second region from the binarization barcode, acquiring a second narrow element width from the second region, generating an extension region by extending the second region when the second narrow element width is smaller than the first narrow element width, generating a plurality of binarization sequences corresponding to the extension region, decoding at least one of the binarization sequences for generating at least one decoded sequence by using a lookup table, and verifying the at least one decoded sequence for generating a verified sequence by using a checksum code.

Claim (Index 5):
The method of  claim 4 , further comprising:\n converting the second value region of the extension region to the first value region of the extension region when a width of the second value region of the extension region is equal to the second narrow element width and the second value region of the extension region is located between two consecutive first value regions.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 96.0
- Lexical Diversity: 2.7551
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16103877', '11077056', '11077057', '12981616', '13044903']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5692114680073972
- 35 USC 102 Novelty (BERT): 0.4978532507652014
- Combined Prediction Score: 0.5620756462831776
- Mean Citation Score: 199.48984
- Max Citation Score: 261.25726000000003
- Similarity Product: 162.56389394751312

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