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

T. T T Bui, N. H. Phan, V. G. Spitsyn, Yu A. Bolotova, Yu V. Savitsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publication2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479971022
DOIs
Publication statusPublished - 1 Jul 2015
Event2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Omsk, Russian Federation
Duration: 21 May 201523 May 2015

Other

Other2015 International Siberian Conference on Control and Communications, SIBCON 2015
CountryRussian Federation
CityOmsk
Period21.5.1523.5.15

Fingerprint

Character recognition
Face recognition
Principal component analysis
Wavelet transforms
Neural networks
Feedforward neural networks
Feature extraction

Keywords

  • character recognition
  • face recognition
  • neural networks
  • principal component analysis
  • wavelet transforms

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

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 proceedingConference 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
Bui, T. T T ; Phan, N. H. ; Spitsyn, V. G. ; Bolotova, Yu A. ; Savitsky, Yu V. / Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks. 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015.
@inproceedings{fb6e9a36934942ebb633c5f4ecbc169c,
title = "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.",
keywords = "character recognition, face recognition, neural networks, principal component analysis, wavelet transforms",
author = "Bui, {T. T T} and Phan, {N. H.} and Spitsyn, {V. G.} and Bolotova, {Yu A.} and Savitsky, {Yu V.}",
year = "2015",
month = "7",
day = "1",
doi = "10.1109/SIBCON.2015.7147224",
language = "English",
isbn = "9781479971022",
booktitle = "2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Development of algorithms for face and character recognition based on wavelet transforms, PCA and neural networks

AU - Bui, T. T T

AU - Phan, N. H.

AU - Spitsyn, V. G.

AU - Bolotova, Yu A.

AU - Savitsky, Yu V.

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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.

AB - 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.

KW - character recognition

KW - face recognition

KW - neural networks

KW - principal component analysis

KW - wavelet transforms

UR - http://www.scopus.com/inward/record.url?scp=84941063882&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84941063882&partnerID=8YFLogxK

U2 - 10.1109/SIBCON.2015.7147224

DO - 10.1109/SIBCON.2015.7147224

M3 - Conference contribution

SN - 9781479971022

BT - 2015 International Siberian Conference on Control and Communications, SIBCON 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -