基于小波变换和概率神经网络的指纹识别

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) Pub Date : 1999-07-10 DOI:10.1109/IJCNN.1999.836183

S. Lee, B. Nam

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引用次数: 28

摘要

在指纹识别中，需要进行平滑、二值化和细化等预处理。然后提取指纹细节特征。一些指纹识别算法(如使用FFT等)可能需要如此多的计算，以至于不切实际。基于小波变换的指纹识别算法可能是实现小型计算机低成本指纹识别系统的关键。提出了一种快速有效的指纹识别方法。

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Fingerprint recognition using wavelet transform and probabilistic neural network

In the recognition of fingerprint, preprocessing such as smoothing, binarization and thinning is needed. Then fingerprint minutiae feature is extracted. Some fingerprint identification algorithm (such as using FFT etc.) may require so much computation as to be impractical. Wavelet based algorithm may be the key to making a low cost fingerprint identification system that would operate on a small computer. We present a fast and effective method to identify fingerprint.

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IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

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