Human recognition using 3D ear images

• Published in: Neurocomputing (Amsterdam) Vol. 140; pp. 317 - 325
• Main Authors: Prakash, Surya, Gupta, Phalguni
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 22.09.2014; Elsevier
• Subjects: 2D and 3D Ear Recognition; Alignment; Applied sciences; Artificial intelligence; Biometrics; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Ear; Exact sciences and technology; Generalized Procrustes Analysis; Iterative Closest Point Technique; Local Feature Points; Matching; Object recognition; Pattern recognition. Digital image processing. Computational geometry; Software; Three dimensional; Three dimensional models; Two dimensional; Biometrics; Local Feature Points; Generalized Procrustes Analysis; 2D and 3D Ear Recognition; Iterative Closest Point Technique; Image registration; Computer vision; Image recognition; Error rate; Posture; Image matching; Ear; Tridimensional image; Procrustes analysis

This paper proposes an ear recognition technique which makes use of 3D along with co-registered 2D ear images. It presents a two-step matching technique to compare two 3D ears. In the first step, it computes salient 3D data points from 3D ear images with the help of local 2D feature points of co-reg...