Title: Automated conformance testing for ISO/IEC 19794-5 Standard on facial photo specifications

Authors: Thi Hai Binh Nguyen; Van Huan Nguyen; Hakil Kim

Addresses: School of Information and Communication Engineering, INHA University, Incheon 402-751, Korea. ' School of Information and Communication Engineering, INHA University, Incheon 402-751, Korea. ' School of Information and Communication Engineering, INHA University, Incheon 402-751, Korea

Abstract: This paper proposes effective metrics for quantitative conformance testing for ISO/IEC 19794-5 standard on facial photo specifications. Each metric is normalised to [0, 10], as a quality score of each requirement, to conveniently utilise in facial photo quality validation systems. Furthermore, this paper proposes a robust method of extracting necessary features in the images for automated conformance testing. The proposed extraction method takes advantages of colour, intensity and edge information. Experimental results over a subset of FERET, GTAV, and FIePI databases demonstrated the effectiveness and robustness of the proposed metrics and extraction method.

Keywords: conformance testing; ISO/IEC 19794-5 standard; facial photo quality; facial feature detection; facial recognition; biometrics; facial photo specifications; feature extraction.

DOI: 10.1504/IJBM.2013.050734

International Journal of Biometrics, 2013 Vol.5 No.1, pp.73 - 98

Published online: 28 Feb 2014 *

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