For biometric person authentication, system design and asessment 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. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Moon, H. (2004). System design and assessment methodology for face recognition algorithms. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3338, 358–369. https://doi.org/10.1007/978-3-540-30548-4_41
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