计算机应用研究2011，Vol.28Issue(6)：2355-2357,3.DOI:10.3969/j.issn.1001-3695.2011.06.098
基于小波分解和高低帽变换的在线掌纹识别
On-line palmprint recognition based on wavelet decomposition and high and low hat transform
摘要
Abstract
Palmprint recognition for identification provides a new scheme for information security. In order to reduce restrictions on the image acquisition, the paper presented high and low hat transform method to find the grey tanks in the low frequency sub-image and got the contrast-enhanced image on the basis of wavelet transform Grouped all the transform values in the sub-image into a feature vector for recognition. The method was tested on the basis of UST palmprint image database. From the experimental results, the method solved 1ow contrast about on-line palmprint images so that increased the recognition rate.It proves that the method can satisfy the uses for authentication systems without excessive demands for collection images.关键词
生物特征识别/掌纹识别/形态学/小波变换/高低帽变换Key words
biometrics recognition/ palmprint recognition/ morphology/ wavelet transform/ high and low hat transform分类
信息技术与安全科学引用本文复制引用
刘玉芹,苑玮琦,郭金玉..基于小波分解和高低帽变换的在线掌纹识别[J].计算机应用研究,2011,28(6):2355-2357,3.基金项目
国家自然科学基金资助项目(60972123) （60972123）
辽宁省教育厅科研项目(L2010436) （L2010436）
