摘要
总结和分析了活体确认技术的现状 ,指出了存在的一些重要问题 ,重点讨论了它在指纹识别中的研究进展 ,并在判别信号检测区域的选择 ,判别信号的提取和整理、消除信号特征冗余和 BP神经网络分类等方面提出了有效的改进算法和方案 。
The development and some important problems in liveness detection are introduced, and its up-to-date research in fingerprint recognition is analyzed. Some innovative improvements on the selection of signals detecting area, extraction and rearrangement of center signals of the ridge, simplification of BP neural network architecture and eliminating the redundancy of the eigenvector are discussed. Finally, the way for selecing an effective eigenvector is pointed out.
出处
《数据采集与处理》
CSCD
北大核心
2005年第1期120-124,共5页
Journal of Data Acquisition and Processing
