Title: Recognition of ear based on partial features fusion

Authors: R. Vidyasri; B. Priyalakshmi; M. Ravi Raja; S. Priyanka

Addresses: Department of Telecommunication Engineering, SRM University, Chennai, Tamil Nadu, India ' Department of Telecommunication Engineering, SRM University, Chennai, Tamil Nadu, India ' Department of Telecommunication Engineering, SRM University, Chennai, Tamil Nadu, India ' Department of Telecommunication Engineering, SRM University, Chennai, Tamil Nadu, India

Abstract: Multi biometric systems like face and ear recognition techniques are adopted for the forensic and civilian applications to address the challenges of the facial expressions and occlusions. Numerous face and ear techniques have been proposed so far. Yet it becomes difficult to remove occlusions in ear. Ear occlusions can be of various forms such as, cap, hair, scarf, earrings, etc. Due to occlusion during identification stage recognition will certainly cause the loss of information. In this paper, an occlusion detection of ear that will recognise the occlusion information during the identification stage and by using fusion method, the matching of the samples is processed.

Keywords: ear recognition; occlusion estimation; biometric system; FLDA feature extraction; borda count; rank features.

DOI: 10.1504/IJBM.2018.091624

International Journal of Biometrics, 2018 Vol.10 No.2, pp.105 - 120

Received: 13 Jun 2017
Accepted: 24 Nov 2017
Published online: 08 May 2018 *

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