Wave atoms based compression method for fingerprint images

PATTERN RECOGNITION

卷:46

Article

Haddad, Zehira^1,2  Beghdadi, Azeddine¹  Serir, Amina²  Mokraoui, Anissa¹ 

[1] Univ Paris 13, Inst Galilee, L2TI, F-93430 Villetaneuse, France

[2] USTHB, Fac Elect & Informat, LTIR, Bab Ezzouar 16111, Algeria

关键词: Biometrics;    Fingerprint compression;    Image Quality Metric (IQM);    Wavelets;    Ridgelets;    Curvelets;    Wave atoms;    Wavelet Scalar Quantization (WSQ);    Human Visual System (HVS);   

DOI  :  10.1016/j.patcog.2013.02.004

来源: Elsevier

【 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. (C) 2013 Elsevier Ltd. All rights reserved.

【 授权许可】

Free