PATENT CLAIM ANALYSIS

Application Number: 16222092
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-09
Patent Classification: ["382", "181000"]

Abstract:
A system and method for identifying a subject based upon ear recognition using a convolutional neural network (CNN) and handcrafted features, wherein an ear in an image is cropped using ground truth annotations and landmark detection is performed to obtain the information required to normalize pose and scale variations. The normalized images are then described by different feature extractors and matched through distance metrics. Finally, scores are fused and a subject identification decision is made.

Claim (Index 20):
One or more non-transitory computer-readable media having computer-executable instructions for performing a method of running a software program on a computing device, the computing device operating under an operating system, the method including issuing instructions from the software program comprising: acquiring, from an image capture device coupled to a computing device, an image of a subject of interest, wherein the image includes an ear of the subject of interest; extracting an image of the ear of the subject of interest from the image of the subject of interest; detecting a plurality of landmarks of the image of the ear of the subject of interest wherein the plurality of landmarks are selected from one or more characteristics of the outer ear including helix, crus antihelices, antihelix, scapha, antitragus, fossa triangularis, crus helicis, canum conchae, tragus and lobule; normalizing the image of the ear to a standard configuration based on the plurality of detected landmarks to generate a normalized image of the ear; extracting a plurality of discriminant features from the normalized image of the ear to generate a plurality of descriptors for the normalized image of the ear, wherein the plurality of discriminant features includes Convolutional Neural Network (CNN)-learned features and handcrafted features; comparing the plurality of discriminant features extracted from the normalized image to a plurality of database images of ears to identifying a plurality of matching scores, wherein the plurality of matching scores include CCN-learned matching scores and handcrafted matching scores; fusing the CNN-learned matching scores and the handcrafted matching scores to generate a plurality of fused matching scores; and determining an identify of the subject of interest based upon the plurality of fused matching scores.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.28125
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15689046', '14555477', '15120287', '11708558', '15936525']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3007021966537098
- 35 USC 102 Novelty (BERT): 0.5023543949222331
- Combined Prediction Score: 0.3208674164805621
- Mean Citation Score: 175.36137
- Max Citation Score: 203.76598
- Similarity Product: 120.88814656482816

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

Dataset: test