自动化学报2003，Vol.29Issue(4)：622-627,6.
指纹图像分割中新特征的提出及其应用
New Features Extraction and Application in Fingerprint Segmentation
摘要
Abstract
We present a useful and effective fingerprint image segmentation. We extract two new features with which our algorithm can distinguish the blurred area from foreground, and, therefore, can reduce the number of false minutiae. We use supervised RBF neural network to classify patterns and select typical patterns to train the classifier. Experimental results show a significant improvement in fingerprint segmentation performance.关键词
生物识别/图像处理/指纹识别/分割/神经网络/RBF网络Key words
Biometrics/image processing/fingerprint/segmentation/neural networks/RBF networks分类
信息技术与安全科学引用本文复制引用
王森,张伟伟,王阳生..指纹图像分割中新特征的提出及其应用[J].自动化学报,2003,29(4):622-627,6.基金项目
Supported by the Creative Foundation of Chinese Academy of Sciences, the Project of Institute of Automation （）
