PATENT CLAIM ANALYSIS

Application Number: 16008324
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["382", "118000"]

Abstract:
Some implementations may include a method for watermarking an identification document, the method including: receiving a digitally watermarked digital facial portrait of the person, the digital facial portrait embedded with at least one digital watermark identifying payload data linking the digital facial portrait to the person portrayed in the digital facial portrait; receiving results of comparison between the digital facial portrait of the person and the person presenting the digitally watermarked digital facial portrait; retrieving the at least one digital watermark in response to receiving comparison results that the person portrayed in the digital facial portrait is the person presenting the digitally watermarked digital facial portrait; and determining that the digital facial portrait is authentic based on the retrieved at least one digital watermark.

Claim (Index 1):
A computer-assisted method for identifying a person, comprising:\n receiving a digitally watermarked digital facial portrait of the person, the digital facial portrait embedded with at least one digital watermark identifying payload data linking the digital facial portrait to the person portrayed in the digital facial portrait; receiving results of comparison between the digital facial portrait of the person and the person presenting the digitally watermarked digital facial portrait; retrieving the at least one digital watermark in response to receiving comparison results that the person portrayed in the digital facial portrait is the person presenting the digitally watermarked digital facial portrait; and determining that the digital facial portrait is authentic based on the retrieved at least one digital watermark.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 94.0
- Lexical Diversity: 2.51923
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14469807', '14469826', '14470688', '14470331', '14470499']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.423278544226636
- 35 USC 102 Novelty (BERT): 0.5971278428868433
- Combined Prediction Score: 0.4406634740926567
- Mean Citation Score: 432.182576
- Max Citation Score: 535.17926
- Similarity Product: 478.9152493189621

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