On-line fingerprint verification
On-line fingerprint verification
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DOI：
10.1109/icpr.1996.547016
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发表时间：
1996-08
期刊：
影响因子：
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通讯作者：
Anil K. Jain;Lin Hong;R. Bolle
中科院分区：
文献类型：
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作者：
Anil K. Jain;Lin Hong;R. Bolle
我们描述了在线指纹验证系统的设计和实现，该系统分两个阶段运行：（i）细节提取和（ii）细节匹配。已经实现了一种改进的细节提取算法，它比我们早期的算法更快、更准确。对于细节匹配，开发了一种基于对齐的弹性匹配算法。该算法能够找到输入细节和存储模板之间的对应关系，而无需求助于穷举搜索，并且能够自适应地补偿指纹之间的非线性变形和不精确的姿态变换。该系统已在使用无墨扫描仪捕获的两组指纹图像上进行了测试。验证准确率超过 99%，拒绝率为 15%。通常，在 SPARC 20 工作站上，完整的指纹验证过程平均需要大约 8 秒。满足在线验证的响应时间要求，准确度高。
We describe the design and implementation of an online fingerprint verification system which operates in two stages: (i) minutia extraction and (ii) minutia matching. An improved minutia extraction algorithm that is much faster and more accurate than our earlier algorithm has been implemented. For minutia matching, an alignment-based elastic matching algorithm has been developed. This algorithm is capable of finding the correspondences between input minutiae and the stored template without resorting to exhaustive search and has the ability to adaptively compensate for the nonlinear deformations and inexact pose transformations between finger prints. The system has been tested on two sets of finger print images captured with inkless scanners. The verification accuracy is found to be over 99% with a 15% reject rate. Typically, a complete fingerprint verification procedure takes, on an average, about 8 seconds on a SPARC 20 workstation. It meets the response time requirements of on-line verification with high accuracy.