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 30):
The method of  claim 29 , further comprising determining a signal envelope, comprising:\n determining the signal envelope based on measurements made for a nearby barcode character in the barcode in the digital image; determining the signal envelope by measuring maximum and minimum intensity measurements of a subset of intensity measurements of the set of intensity measurements over a portion of the barcode in the digital image; determining the signal envelope separately for each possible unit encodation pattern; determining the signal envelope for at least one unit encodation pattern by minimizing a fit error that is a function of a vector difference between a vector left side of the linear matrix equation and a vector function of the portion of the barcode in the digital image, wherein the vector function is a normalization function that normalizes for the signal envelope, or any combination thereof.

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): 0.5852287542593938
- 35 USC 102 Novelty (BERT): 0.6015437459221871
- Combined Prediction Score: 0.5868602534256732
- Mean Citation Score: 350.519152
- Max Citation Score: 581.41675
- Similarity Product: 494.1619720926583

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