Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks

Abstract

In this paper we present a novel algorithms for face and character recognition using combination of wavelet transforms and principal component analysis (PCA). At first, face features are extracted using combination of Haar and Daubechies wavelet transform. Then obtained features are used for face recognition by PCA (eigenfaces). In the case of character recognition we use combination of wavelet transform and principal component analysis for character feature extraction. Then obtained extracted features are classified using multi-layer feed-forward neural networks. For each training character we use one neural network, which determines the confidence whether an input character is its prototype or not. The proposed algorithms give an effective performance of face and character recognition on noisy images and compete with state-of-the-art algorithms.

Original language	English
Title of host publication	2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479971022
DOIs	https://doi.org/10.1109/SIBCON.2015.7147224
Publication status	Published - 1 Jul 2015
Event	2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Omsk, Russian Federation Duration: 21 May 2015 → 23 May 2015

Other

Other	2015 International Siberian Conference on Control and Communications, SIBCON 2015
Country	Russian Federation
City	Omsk
Period	21.5.15 → 23.5.15

Keywords

character recognition
face recognition
neural networks
principal component analysis
wavelet transforms

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/SIBCON.2015.7147224

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Bui, T. T. T., Phan, N. H., Spitsyn, V. G., Bolotova, Y. A., & Savitsky, Y. V. (2015). Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks. In 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings [7147224] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBCON.2015.7147224

Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks. / Bui, T. T T; Phan, N. H.; Spitsyn, V. G.; Bolotova, Yu A.; Savitsky, Yu V.

2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7147224.

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

Bui, TTT, Phan, NH, Spitsyn, VG, Bolotova, YA & Savitsky, YV 2015, Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks. in 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings., 7147224, Institute of Electrical and Electronics Engineers Inc., 2015 International Siberian Conference on Control and Communications, SIBCON 2015, Omsk, Russian Federation, 21.5.15. https://doi.org/10.1109/SIBCON.2015.7147224

Bui TTT, Phan NH, Spitsyn VG, Bolotova YA, Savitsky YV. Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks. In 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7147224 https://doi.org/10.1109/SIBCON.2015.7147224

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