PATENT CLAIM ANALYSIS

Application Number: 16055137
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, a first indication block and a second indication block respectively by filling code points into the virtual code point storage blocks, wherein the first indication block and the plurality of coordinate calibration blocks are filled with a code point located in the center of the virtual code point storage blocks; and forming, by means of a combination of the first indication block and the second indication block, a direction and coordinate indication set indicative of a direction and a coordinate, wherein the second indication block is not filled with a code point or is filled, in the center thereof, with an ink code point capable of reflecting a light having a specific wavelength, and the plurality of coordinate calibration blocks are separated from each other.

Claim (Index 7):
The two-dimensional dot matrix barcode identifying method of  claim 6 , wherein the rotation direction of the two-dimensional matrix is obtained according to a relative position between the first indication block and the second indication block.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 96.0
- Lexical Diversity: 2.50794
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16055149', '14348252', '15893692', '13313762', '14103881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5473233313375451
- 35 USC 102 Novelty (BERT): 0.5819101091481494
- Combined Prediction Score: 0.5507820091186055
- Mean Citation Score: 253.100154
- Max Citation Score: 484.31976
- Similarity Product: 459.656114690094

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