PATENT CLAIM ANALYSIS

Application Number: 16055149
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["235", "494000"]

Abstract:
A two-dimensional dot matrix barcode encoding method comprises: forming a plurality of coordinate calibration blocks, a plurality of data storage blocks and a direction indication block by filling code points into the virtual code point storage blocks, wherein the plurality of coordinate calibration blocks are filled with only one code point located in the center of the virtual code point storage block; the direction indication block is filled with at least two code points, only one code point being located in the center of the virtual code point storage block; the plurality of coordinate calibration blocks and the direction indication block are separated from each other and distributed among the plurality of data storage blocks; and code points filled in the plurality of data storage blocks are used to store data information, where M≥4, N≥4, N≥4, and M and N are both even numbers.

Claim (Index 9):
The two-dimensional dot matrix barcode reading method of  claim 8 , wherein the center coordinate of the data storage block is calculated by using an interpolation method according to the converted code point coordinate (x 1 , y 1 ) of the coordinate calibration block.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 96.0
- Lexical Diversity: 2.4
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16055137', '13313762', '14103881', '14348252', '15893692']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5527862895251902
- 35 USC 102 Novelty (BERT): 0.5825091418880919
- Combined Prediction Score: 0.5557585747614804
- Mean Citation Score: 262.56812599999995
- Max Citation Score: 484.3857
- Similarity Product: 463.97125798451896

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