摘要
综合4种传统算法和八元数BP神经网络,提出一种掌纹特征提取算法,自动提取彩色掌纹图像的掌纹线。对掌纹线图像进行二维小波分解,并构造七维特征向量,采用八元数矢量积表示算法进行掌纹识别。实验结果表明,掌纹提取算法能提取出较精细的掌纹线,识别算法的成功率可达96%。
This paper proposes a color palmprint feature extraction algorithm, combined with four classical algorithms and Octonion BP neural network, to extract palmprint line from color palmprint image. The pahnprint line image is decomposed by the two-dimensional wavelet, which is used the octonion vector product representation algorithm to match. Experimental results show that palmprint lines can be extracted well by the extraction algorithm, and the recognition rate of the algorithm is 96%.
出处
《计算机工程》
CAS
CSCD
2012年第22期28-33,共6页
Computer Engineering
基金
广东省部产学研结合基金资助项目(2009B080701077)
关键词
八元数
BP神经网络
掌纹提取
特征向量
掌纹识别
octonion
BP neural network
palmprint extraction
characteristic vector
palmprint recognition
