An improved fast face recognition algorithm based on adjacent pixel intensity difference quantization histogram

Fei Fei Lee; Koji Kotani; Qiu Chen; Tadahiro Ohmi

doi:10.1109/ICWAPR.2008.4635796

An improved fast face recognition algorithm based on adjacent pixel intensity difference quantization histogram

Fei Fei Lee, Koji Kotani, Qiu Chen, Tadahiro Ohmi

ENG - Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we present an improved face recognition algorithm based on adjacent pixel intensity difference quantization (APIDQ) histogram method proposed by Kotani et al. [12]. We optimize the quantization method of APIDQ according to the maximum entropy principle (MEP), and determine the best parameters for APIDQ. Experimental results show maximum average recognition rate of 97.2 % for 400 images of 40 persons (10 images per person) from the publicly available AT&T face database.

Original language	English
Title of host publication	Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
Pages	316-320
Number of pages	5
DOIs	https://doi.org/10.1109/ICWAPR.2008.4635796
Publication status	Published - 2008 Dec 1
Event	2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR - Hong Kong, China Duration: 2008 Aug 30 → 2008 Aug 31

Publication series

Name	Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
Volume	1

Other

Other	2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
Country	China
City	Hong Kong
Period	08/8/30 → 08/8/31

Keywords

Adjacent pixel intensity difference quantization (APIDQ)
Face recognition
Maximum entropy principle (MEP)

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICWAPR.2008.4635796

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Cite this

Lee, F. F., Kotani, K., Chen, Q., & Ohmi, T. (2008). An improved fast face recognition algorithm based on adjacent pixel intensity difference quantization histogram. In Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR (pp. 316-320). [4635796] (Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR; Vol. 1). https://doi.org/10.1109/ICWAPR.2008.4635796

An improved fast face recognition algorithm based on adjacent pixel intensity difference quantization histogram. / Lee, Fei Fei; Kotani, Koji; Chen, Qiu; Ohmi, Tadahiro.

Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR. 2008. p. 316-320 4635796 (Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, FF, Kotani, K, Chen, Q & Ohmi, T 2008, An improved fast face recognition algorithm based on adjacent pixel intensity difference quantization histogram. in Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR., 4635796, Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR, vol. 1, pp. 316-320, 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR, Hong Kong, China, 08/8/30. https://doi.org/10.1109/ICWAPR.2008.4635796

Lee FF, Kotani K, Chen Q, Ohmi T. An improved fast face recognition algorithm based on adjacent pixel intensity difference quantization histogram. In Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR. 2008. p. 316-320. 4635796. (Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR). https://doi.org/10.1109/ICWAPR.2008.4635796

Lee, Fei Fei ; Kotani, Koji ; Chen, Qiu ; Ohmi, Tadahiro. / An improved fast face recognition algorithm based on adjacent pixel intensity difference quantization histogram. Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR. 2008. pp. 316-320 (Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR).

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