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- W98630122 abstract "One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by distorted fingertip surface condition, which may vary depending on environmental or personal causes. Addressing this problem, this paper presents the three-rate hybrid Kohonen neural network (TRHKNN) for distorted fingerprint image processing. The received TRHKNN consists of fast Kohonen neural network (FKNN), middle Kohonen neural network (MKNN) and slow Kohonen neural network (SKNN). The received TRHKNN has not only high speed of image recognition, but also high speed of image restoration. This approach demonstrates that the proposed TRHKNN is capable not only to identify the distorted image of fingerprint but also to restore the undistorted image of fingerprint. The simulations for TRHKNN were carried out in a MATLAB/Simulink environment. This example shows the computing procedure and applicability of TRHKNN for fast-acting image recognition in real-time conditions." @default.
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- W98630122 date "2007-10-13" @default.
- W98630122 modified "2023-09-27" @default.
- W98630122 title "Fingerprint recognition for distorted image applications using three-rate hybrid Kohonen neural network" @default.
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