Wavelet-Based Face Recognition Method by Using Support Vector Machine

Author

Liu, Yi ; Sun, Tao ; Yang, Huang ; Yang, Yongmi ; Zhou, Xinhong

Author_Institution

Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China

fYear

2009

fDate

7-9 Dec. 2009

Firstpage

319

Lastpage

322

Abstract

A new method of facial representation proposed for face recognition by support vector machine (SVM). For face representation we have used a five-step multiresolution method, namely the two-dimensional discrete wavelet transform (DWT) is used to transform the faces to a more discriminated space and then use the approximations of subimages in each scale as feature points to classify different faces. The experimental results shown a significant improvement which includes a substantial reduction in error rate and the correct recognition rate is high up to 100%.

Keywords

discrete wavelet transforms; face recognition; image representation; image resolution; support vector machines; error rate reduction; facial representation method; five-step multiresolution method; support vector machine; two-dimensional discrete wavelet transform; wavelet-based face recognition method; Discrete wavelet transforms; Face detection; Face recognition; Feature extraction; Image recognition; Independent component analysis; Linear discriminant analysis; Principal component analysis; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-1-4244-5543-0

Type

conf

DOI

10.1109/ICICIC.2009.383

Filename

5412322