PATENT CLAIM ANALYSIS

Application Number: 16043029
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["235", "462160"]

Abstract:
Systems and methods are provided for decoding barcodes. A scan signal is acquired along a scan through a barcode. A first character unit grid for a unit width pattern within the barcode along the scan is determined. At least one set of sampling coefficients relating the unit width pattern to a portion of the scan signal is determined based on the first character unit grid. The element width pattern for the unit width pattern is determined based on the at least one set of sampling coefficients and the portion of the scan signal.

Claim (Index 21):
A computerized method for decoding a barcode, the method comprising:\n receiving a digital image of a barcode, wherein each pixel of a set of pixels of the digital image comprises at least a portion of an intensity measurement of a set of intensity measurements of an associated portion of the barcode; determining a set of barcode units of the barcode, wherein each barcode unit from the set of barcode units comprises a width and a binary encoding value; determining based on the set of barcode units, at least one set of sampling coefficients relating the set of barcode units to the portion of the barcode in the digital image by determining coefficients representing relative contributions of each barcode unit of the set of barcode units to each intensity measurement of the set of intensity measurements; and determining an element pattern for the set of barcode units based on the at least one set of sampling coefficients and the set of intensity measurements of the portion of the barcode.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 95.0
- Lexical Diversity: 2.33333
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14510710', '15470470', '14511030', '12273381', '12181722']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5793131583209218
- 35 USC 102 Novelty (BERT): 0.616586996143776
- Combined Prediction Score: 0.5830405421032072
- Mean Citation Score: 350.519152
- Max Citation Score: 581.41675
- Similarity Product: 550.588300891906

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test