PATENT CLAIM ANALYSIS

Application Number: 16285776
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["382", "165000"]

Abstract:
A system for computerized authentication of a laminated object, the system comprising a digital medium storing a digital image of at least a portion of the laminated object in a computer-implemented memory; a shininess analyzer operative, using a processor, to generate shininess data quantifying shininess of the digital image; and a parameterized computerized authentication sub-system operative to differentially perform at least one laminated object authentication operation based on the shininess data.

Claim (Index 7):
A system according to  claim 2  wherein said authentication processor is operative to differentially perform at least one authentication operation by aggregating information about shininess of various instances of each of at least first and second document types, handling all instances of the first document type using a first forgery test whose parameters are selected given a first level of shininess that appears to characterize said first document type; and handling all instances of the second document type using a second forgery test whose parameters are selected given a second level of shininess that appears to characterize said second document type.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 99.0
- Lexical Diversity: 1.83333
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15322817', '14235658', '14734398', '13509169', '13342770']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3032012023327841
- 35 USC 102 Novelty (BERT): 0.5731500534090049
- Combined Prediction Score: 0.3301960874404062
- Mean Citation Score: 189.2102128
- Max Citation Score: 444.63626
- Similarity Product: 422.8290894357133

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