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 4):
The two-dimensional dot matrix barcode encoding method of  claim 1 , wherein after the direction and coordinate indication set is rotated by \u00b190\u00b0 or 180\u00b0 around the geometric center of the second indication block, the first indication block does not overlap with that before rotation.

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): 0.5473648946338397
- 35 USC 102 Novelty (BERT): 0.581816641805681
- Combined Prediction Score: 0.550810069351024
- Mean Citation Score: 253.100154
- Max Citation Score: 484.31976
- Similarity Product: 459.1233900204562

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