Abstract
This paper studies on the automatic fingerprint recognition system, the former three fingerprints are extracted from the suspects, the fourth incomplete fingerprint is extracted in scene. Enhance the quality of fingerprint image through improved algorithm and image preprocessing method, at last matching the fingerprint of the three suspects to the fourth to find the criminal. All papers get the simulation results by matlab.
Highlights
Using fingerprint to confirm the identity can be track back to ancient China
Fingerprint recognition technology widely applied on the contract, etc, it began to develop in other areas
In the early 19th century, scientific research found two important fingerprint characteristics: one is the fingerprint ridge lines are different in different finger, another is the pattern of the fingerprint ridge lines will not change all life
Summary
Using fingerprint to confirm the identity can be track back to ancient China. At the beginning, fingerprint recognition technology widely applied on the contract, etc, it began to develop in other areas. In the early 19th century, scientific research found two important fingerprint characteristics: one is the fingerprint ridge lines are different in different finger, another is the pattern of the fingerprint ridge lines will not change all life Those results were already used in fingerprint recognition of police. In the 20th century, as the computer can process images effectively, it was used to deal with the fingerprint analysis instead of the artificial processing traditionally. By this time, the fingerprint recognition technology reached a comprehensive development stage. Paper [11-12] introduces a set of algorithms for extracting minutiae from fingerprint image.
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