PATENT CLAIM ANALYSIS

Application Number: 15871912
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["235", "469000"]

Abstract:
A method includes: dividing a received QR code image into a multi-row image of rows of pixels whose number is the same as a threshold of the number of rows; calculating an average grayscale value of each column of pixels to form row data, and binarizing the row data; extracting a rectangle image in the binarized row data whose similarity to a preset proportion is smaller than a threshold; binarizing the rectangle image and a region formed by extending the rectangle image by the width threshold upwardly and downwardly respectively; searching for column line segments meeting the preset proportion on a middle column of the rectangle image; translating a diagonal line of a square image in upward and downward directions respectively; searching for and recording black-white demarcation points on the edge of the square image on the translated diagonal line and forming a position detection pattern of the QR code.

Claim (Index 6):
The QR code feature detection method according to  claim 5 , wherein determining whether a similarity between the suspected row proportion and the preset proportion is smaller than the proportion threshold specifically includes:\n converting the initial data of the suspected row proportion into data that is same as the initial data of the preset proportion, and performing an equal-proportion conversion on all the data of the suspected row proportion to obtain a converted suspected row proportion; calculating a difference between data other than the first data in the converted suspected row proportion and the data of a corresponding digit in the preset proportion, and obtaining an absolute value of the difference; and if the absolute value corresponding to each digit is less than the row proportion threshold, then the similarity between the suspected row proportion and the preset proportion is less than the row proportion threshold.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.03846
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14103881', '15871188', '14102799', '13149842', '14446020']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6029514364792146
- 35 USC 102 Novelty (BERT): 0.4670296408097064
- Combined Prediction Score: 0.5893592569122638
- Mean Citation Score: 190.268194
- Max Citation Score: 205.25246
- Similarity Product: 161.51358565592528

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