PATENT CLAIM ANALYSIS

Application Number: 15982263
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["382", "118000"]

Abstract:
As the use of facial biometrics expands in the commercial and government sectors, the need to ensure that human facial examiners use proper procedures to compare facial imagery will grow. Human examiners have examined fingerprint images for many years such that fingerprint examination processes and techniques have reached a point of general acceptance for both commercial and governmental use. The growing deployment and acceptance of facial recognition can be enhanced and solidified if new methods can be used to assist in ensuring and recording that proper examination processes were performed during the human examination of facial imagery.

Claim (Index 1):
A method of electronically assisted facial identification comprising:\n displaying, on at least one display, at least two facial images near one other; electronically maintaining, by a processor and storage, a predefined list of facial components to be examined when the two facial images on the at least one display are analyzed by a user to determine whether the facial images are of different persons or of a same person; and automatically guiding the user through the facial identification process in response to the electronically maintained list of facial components, wherein the automatic guiding includes providing one or more of instructions, guidelines and anatomical definitions to the user and keeping track of which facial components have been examined.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.60317
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15092328', '15838782', '15615746', '15494214', '14100885']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3123101494094483
- 35 USC 102 Novelty (BERT): 0.4326026299355519
- Combined Prediction Score: 0.3243393974620587
- Mean Citation Score: 119.55773
- Max Citation Score: 149.57697
- Similarity Product: 142.85017629931747

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

Dataset: test