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 7):
The QR code feature detection method according to  claim 1 , wherein a sum of a value that is two times of the width threshold and the preset threshold of the number of rows is greater than a side length of the position detection pattern of the QR code.

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): 0.6020027548490445
- 35 USC 102 Novelty (BERT): 0.4709967911197788
- Combined Prediction Score: 0.5889021584761179
- Mean Citation Score: 190.268194
- Max Citation Score: 205.25246
- Similarity Product: 155.20038901465776

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