期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：5
页码：81
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Next to DNA, fingerprint is the unique feature which identifies the individual. Distortions and skindeformations makes the fingerprint unreliable and it is difficult to match using minutiae alone. But whenridge features are incorporated with minutiae features (minutiae type, orientation and position) moretopological information can be obtained. And also ridges are invariant to transformations such as rotationand translation[1]. Ridge based coordinate system is used to extract the ridge features such as ridgelength, ridge count, ridge type and curvature direction in the skeletonized image. Breadth First Search isused to traverse the graph formed using the minutiae as the node and the ridge vector formed using theridge features as the edge. The proposed ridge feature gives additional information for fingerprintmatching with little increment in template size and can be used along with the existing minutiae features toincrease the accuracy and robustness of fingerprint recognition systems.
