Image Recognition Based on Optical Wavelet and Support Vector Machine

Author

Zhan, Chun ; Wang, Jianmin ; Xiong, Zhaosong

Author_Institution

Correspondence & Electron. Coll., Normal Univ., Nanchang, China

Volume

3

fYear

2011

fDate

26-27 Nov. 2011

Firstpage

340

Lastpage

343

Abstract

Image recognition belongs to the nonlinear classification problem, which has a certain difficulty in the process of image recognition. Image recognition based on optical wavelet and support vector machine is proposed in the paper. Optical wavelet is used to extract the features of images and support vector machine is used to create the image recognition model by utilizing the features. In the experiments, 80 images with 9 classes are used to study the effectiveness of the proposed OWSVM method. Image recognition accuracy of the proposed OWSVM method is 96.25 and image recognition accuracy of OWBPNN is 88.75.The experimental results show that image recognition accuracy of the proposed OWSVM method is better than that of OWBPNN.

Keywords

feature extraction; image classification; image recognition; support vector machines; wavelet transforms; OWBPNN; OWSVM; feature extraction; image recognition; nonlinear classification problem; optical wavelet; support vector machine; Accuracy; Feature extraction; Image recognition; Nonlinear optics; Optical filters; Optical imaging; Support vector machines; classification; image recognition; optical wavelet; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-61284-450-3

Type

conf

DOI

10.1109/ICIII.2011.364

Filename

6116939