IMAGE RECOGNITION BASED ON WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS

摘要：

This paper proposes an image recognition method, which consists of two steps: features extraction based on wavelet transform and image recognition using artificial neural networks. More specifically, wavelet transform is used to decompose the original image into different frequency sub-bands, then a set of features are extracted from the wavelet coefficients. The feature set as input fed into neural network for recognition. The experimental results confirmed effectiveness of the proposed approach.

关键词： Image recognition Wavelet transform Artificial neural networks Multi-scale features

作者: JUN-HAI ZHAI SU-FANG ZHANG LI-JUAN LIU

作者单位: Key Lab.of Machine Learning and Computational Intelligence, College of Mathematics and Computer Scie Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 07100

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 789-793

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）