Wave atoms based compression method for fingerprint images
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摘要
This paper proposes a new fingerprint image compression approach where the quality of the decoded image is perceptually controlled using wave atom transform. A comparative study of different transforms shows that wave atom transform is more appropriate than wavelets for fingerprint image compression. A new image quality metric based on the same transform is proposed to control the compression performance. Some properties of the human visual system are exploited in the design of the proposed image quality metric. Simulations show that this metric correlates well with the subjective human judgment. Based on these interesting results a compression method with a perceptual distortion control mechanism specific to fingerprint images is developed. Finally, the performance of the proposed compression scheme is evaluated in terms of fingerprint recognition rate. The experimental results clearly show that the proposed strategy offers better results than some traditional compression methods.
论文关键词:Biometrics,Fingerprint compression,Image Quality Metric (IQM),Wavelets,Ridgelets,Curvelets,Wave atoms,Wavelet Scalar Quantization (WSQ),Human Visual System (HVS)
论文评审过程:Received 5 January 2012, Revised 24 January 2013, Accepted 2 February 2013, Available online 20 February 2013.
论文官网地址:https://doi.org/10.1016/j.patcog.2013.02.004