Abstract
Fingerprint classification has always been an important research direction in the field of intelligent recognition. Based on the method of fingerprint classifier integration, the backtracking feedback mechanism is introduced, and a fingerprint classification system with high recognition rate is designed. Through the use of 1000 fingerprint images in the fingerprint library to test, The system show the recognition results due to the current Kalle Karu, anli K.jain design of a variety of fingerprint recognition system. Through a series of experimental comparisons, it is proved that the fingerprint classification recognition system with the feedback mechanism has better ability of fingerprint recognition, and greatly reduces the error rate of system recognition.
Highlights
Using multi-classifier integration method can solve various complex problems such as pattern recognition
Because the fingerprint image is affected by a variety of complex factors, such as various noises, skin elasticity, roughness, acquisition technology, it is difficult to apply the fingerprint recognition by single automatic fingerprint classifier
It mainly detects the direction of Ridge and Valley on each pixel of fingerprint image, and produces an array of directions after a region draw, which can be used to record the basic features used in this system and to facilitate other processing
Summary
Using multi-classifier integration method can solve various complex problems such as pattern recognition. It is the rational integration of each single classifier, in order to play their respective advantages, learn from each other, improve the recognition rate of integrated system. Feedback mechanism is not a new thing, all kinds of methods and concepts develop rapidly in many fields of research and application, and have been widely used, but it is rare to try to introduce feedback mechanism in pattern recognition
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