Document Type
Patent
Publication Date
September 2019
Patent Number
10423823
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.
Application Number
16/222092
Recommended Citation
Sarkar, Sudeep; Pamplona Segundo, Mauricio; and Hansley, Earnest Eugene, "Unconstrained ear recognition using a combination of deep learning and handcrafted features" (2019). USF Patents. 1027.
https://digitalcommons.usf.edu/usf_patents/1027
Assignees
University of South Florida
Filing Date
12/17/2018
