PATENT CLAIM ANALYSIS

Application Number: 15933894
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "118000"]

Abstract:
In an approach to face recognition in an image, one or more computer processors receive an image that includes at least one face and one or more face parts. The one or more computer processors detect the one or more face parts in the image with a face component model. The one or more computer processors cluster the detected one or more face parts with one or more stored images. The one or more computer processors extract, from the clustered images, one or more face descriptors. The one or more computer processors determine a recognition score of the at least one face, based, at least in part, on the extracted one or more face descriptors.

Claim (Index 17):
The computer system of  claim 16 , wherein the program instructions to determine the recognition score of the at least one face comprise program instructions to use a trained convolution deep neural network.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.86364
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15065021', '13270155', '14074615', '13401076', '14823863']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3339713486104181
- 35 USC 102 Novelty (BERT): 0.5605726065710082
- Combined Prediction Score: 0.3566314744064771
- Mean Citation Score: 226.902936
- Max Citation Score: 443.9117
- Similarity Product: 352.54506884773974

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

Dataset: test