Abstract
Fingerprint is the cheapest, fastest, most convenient and most reliable way to identify someone. And the tendency, due to scale, easiness and the existing foundation, is that the use of fingerprint will only increase. Cars, cell phones, PDAs, personal computers and dozens of products and devices are using fingerprints more and more. When it comes to deal with large-scale fingerprint database, the scalability of current fingerprint recognition system is not proved yet. Our target application is a centralized user authentication system for e-commerce including online shopping malls and for user identification for government web services. In this paper, we introduce a large-scale fingerprint recognition system which incorporates fingerprint classification, large-scale identification, multiple server based identification. Our experimental result shows that our multi-server system takes 5.2 - 5.36 seconds to identify a fingerprint from 100,000 fingerprints.
Highlights
User authentication by fingerprint recognition makes it possible to have more secure system than traditional system which is based on user password
Centralized fingerprint authentication system widens its application of fingerprint authentication into e-commerce, e-business and user authentication in various web services
We introduce a high-performance fingerprint identification system which incorporates with fingerprint classification, multiserver platform, multi-threaded, authentication server and evaluate the performance using a fingerprint database which populates 100,000 registered fingerprints
Summary
Fingerprint is the cheapest, fastest, most convenient and most reliable way to identify someone. Due to scale, easiness and the existing foundation, is that the use of fingerprint will only increase. Cell phones, PDAs, personal computers and dozens of products and devices are using fingerprints more and more. When it comes to deal with large-scale fingerprint database, the scalability of current fingerprint recognition system is not proved yet. We introduce a large-scale fingerprint recognition system which incorporates fingerprint classification, large-scale identification, multiple server based identification. Our experimental result shows that our multi-server system takes 5.2 - 5.36 seconds to identify a fingerprint from 100,000 fingerprints
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