期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：3
出版社：IJCSI Press
摘要：The choice of an object representation is crucial for the effective performance of cognitive tasks such as fingerprint image (FPI) recognition, this is because how robustly and efficiently Recognition tasks can be performed depends on the choice of the feature representation. This paper introduces radon transform coefficients as an effective and efficient FPI representation. The radon represent FPI with sets of weighted coefficients that are specially chosen to reflect the properties of the represent FPI.The radon transformer parameters are chosen according to a specific discrete scheme that is based on the discrete Multiwvelet transform. In this paper, we describe a new method to identify fingerprint by combining an extreme classifying method, SVM, and radon transformer-based technique. This approach is a learning method whose identifying time is so fast while training time is acceptable.
关键词：Fingerprint identification; FPI ; support vector machine; and radon transformers
