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Journal Article A new face authentication system for memory-constrained devices
Cited 34 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Kyunghee Lee, Hyeran Byun
Issue Date
2003-11
Citation
IEEE Transactions on Consumer Electronics, v.49, no.4, pp.1214-1222
ISSN
0098-3063
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TCE.2003.1261219
Abstract
Though biometrics to authenticate a person is a convenient tool, typical authentication algorithms by using biometrics may not be executable on the memory-constrained devices such as smart cards. We present a solution of a face authentication algorithm for the open issue. Our achievement is two-fold. One is to present a face authentication algorithm with low memory requirement, which uses support vector machines (SVM) with the feature set extracted by genetic algorithms (GA). The other contribution is to suggest a method to reduce further, if needed, the amount of memory required in the authentication at the expense of verification rate by changing a controllable system parameter for a feature set size. Given a pre-defined amount of memory, this capability is quite effective to mount our algorithm on memory-constrained devices. Our experimental results show that the proposed method provides good performance in terms of accuracy and memory requirement.