改进的WSQ指纹图像压缩算法

2008 42nd Asilomar Conference on Signals, Systems and Computers Pub Date : 2008-10-01 DOI:10.1109/ACSSC.2008.5074621

Jinshan Tang, Xiaoming Liu

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引用次数: 4

摘要

小波/标量量化(WSQ)[1]指纹图像压缩算法是一种有效的指纹图像压缩算法，已广泛应用于指纹图像压缩。然而，WSQ无法控制压缩比，在模糊图像上的性能较差。为了克服上述缺点，提出了一种改进的WSQ指纹图像压缩算法。该算法采用混合量化器，可以对模糊指纹图像和非模糊指纹图像分别进行处理。为了控制压缩比，对特定的压缩比参数进行了优化。将该算法与传统WSQ指纹图像压缩算法进行了比较，结果令人鼓舞。

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An improved WSQ fingerprint image compression algorithm

The wavelet/scalar quantization (WSQ) [1] fingerprint image compression algorithm is effective and has been widely applied to fingerprint image compression. However, WSQ cannot control the compression ratio and its performance on fuzzy images is poor. We propose an improved WSQ fingerprint image compression algorithm to overcome the above shortcomings. Our algorithm uses a mixed quantizer so that the algorithm can treat fuzzy and non-fuzzy fingerprint images separately. In order to control the compression ration, an optimization parameters for a specific compression ratio. The proposed algorithm is compared with the traditional WSQ fingerprint image compression algorithm and the results are encouraging.

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2008 42nd Asilomar Conference on Signals, Systems and Computers

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