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基于脊波变换的手背静脉图像增强及特征提取
Image Enhancement and Extracting Features of the Dorsal Hand Vein Patterns Based on Ridgelet Transform
【摘要】 根据人体手背静脉图像的结构及特点,提出一种基于脊波变换的手背静脉图像增强方法,并应用局部互联神经网络提取静脉图像特征,加强了该生物识别系统对模糊图像的识别能力.实验结果表明,该方法与传统的拉普拉斯法、平滑算法及小波变换相比有更加显著的效果.
【Abstract】 Firstly, this paper presents a method of the dorsal hand vein pattern recognition based on ridgelet transform according to the structure and features of human hand vein patterns images. Secondly, a neural network with local interconnection structure described for its application to extracting the features of hand vein patterns images in order to improve the recognition ability of this biometric system for the unclear image. The experimental data show that this method has more perfect results.
【基金】 吉林大学“985工程”项目基金.
- 【文献出处】 吉林大学学报(理学版) ,Journal of Jilin University(Science Edition) , 编辑部邮箱 ,2006年03期
- 【分类号】TP391.41
- 【被引频次】57
- 【下载频次】483