Progressive Fingerprint Images Compression Using Edge Detection Technique

In this paper, a progressive fingerprint image compression (for storage or transmission) using edge detection scheme developed. The image is decomposed into two components. The first component is the primary component, which contains the edges, the other component is the secondary component, which contains the textures and the features. In this paper, a general grasp for the image is reconstructed in the first stage at a bit rate of 0.0223 bpp for Sample (1) and 0.0245 bpp for Sample (2) image. The quality of the reconstructed images is competitive to the 0.75 bpp target bit set by FBI standard. Also, the compression ratio and the image quality of this algorithm are competitive to other existing methods given in the literature [Bradley and Brislawn,1996]-[Sherlock and Monro,1996]. The compression ratio for our algorithm is about 45:1 (0.180 bpp).