Abstract
For biometric person authentication, system design and assessment methodology form essential part of the entire process. We design a performance evaluation methodology for face recognition system based on identification and verification model. To validate our model, we designed a projection-based face recognition system which requires numerous design decisions. We explicitly state the design decisions by introducing a generic modular face recognition system. We explore various implementations for preprocessing, representation and recognition modules. Our experiment includes major factors for system design and assessment: (1) changing the illumination normalization preprocessing; (2) varying the number of features in the representation; and (3) changing the similarity measure in recognition process. We perform experiments and present results for identification and verification scenarios.
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Moon, H. (2004). System Design and Assessment Methodology for Face Recognition Algorithms. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_41
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DOI: https://doi.org/10.1007/978-3-540-30548-4_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
Online ISBN: 978-3-540-30548-4
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