Recognizing Face Using the Combination of Singular Value Decomposition and Hidden Markov Model Algorithms-Reference-Cited by-同舟云学术

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Recognizing Face Using the Combination of Singular Value Decomposition and Hidden Markov Model Algorithms

Published:2023 Issue: Volume: Page:575-592
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Candra Henry^ORCID,Sulaiman Susan^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-0248-4_38

Reference32 articles.

1. Li J, Chen HF, Wang LJ, Zhang CY (2013) Face recognition method based on multi-level histogram sequence of Gabor fused features. In: Advanced materials research. Trans Tech Publications Ltd., pp 2348–2352. https://doi.org/10.4028/www.scientific.net/AMR.718-720.2348

2. Ding BY, Tang YY, Zhang ZC, Wang XW, Fang C (2013) Sparse representation frontal facial recognition algorithm based on eigenface. In: Instruments, measurement, electronics and information engineering. Trans Tech Publications Ltd., pp 3629–3633. https://doi.org/10.4028/www.scientific.net/AMM.347-350.3629

3. Mou D (2010) Fundamentals and advances in biometrics and face recognition. In: Machine-based intelligent face recognition. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 13–70. https://doi.org/10.1007/978-3-642-00751-4_2

4. Nídlová V, Hart J (2015) Reliability of identification based on fingerprints in dual biometric identification systems. In: Applied mechanics and materials. Trans Tech Publications Ltd., pp 1040–1044. https://doi.org/10.4028/www.scientific.net/amm.752-753.1040

5. Zhang MH, Zhang YY (2013) The application of biometric identification technology in ATM system. In: Instruments, measurement, electronics and information engineering. Trans Tech Publications Ltd., pp 3419–3421. https://doi.org/10.4028/www.scientific.net/AMM.347-350.3419

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