Hand Veins Feature Extraction Based on Morphology and Cellular Neural Network

摘要：

Vein pattern recognition is an emerging contactless near infrared biometric technology. It has drawn wide attention in recent years. A fingerprint-based identification system using Cellular Neural Networks has already been proposed. Discrete-time Cellular Neural Network (DT-CNN) is introduced into binary morphology owing to the natural corresponding relationship between them, and then the morphology operation is transformed into multi-layer DT-CNN under some specific template. Multi-layer DT-CNN is transformed into Monolayer DT-CNN by optimizing design to reduce the complexity of the operation. The method has a better performance and converges quickly.

关键词： hand vein recognition cellular neural network image processingformatting

作者: DENG Jinpeng ZHANG Yanzhi

作者单位: School of Software Shenyang University of Technology Shenyang, China Assets and Equipment Management Shenyang University of Technology Shenyang, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 175-178

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）