The VLSI Design of Fingerprint Normalization Algorithm

2010 ◽  
Vol 29-32 ◽  
pp. 2428-2434
Author(s):  
Shi Min Du
Keyword(s):  
Image Quality ◽  
Basic Principle ◽  
Vlsi Design ◽  
Fingerprint Identification ◽  
Fingerprint Image ◽  
Fingerprint Enhancement ◽  
Enhancement Algorithm

Fingerprint identification is one of the most important biometric technologies, which has drawn a substantial amount of attention recently. Fingerprint enhancement algorithm is an important component of fingerprint identification. Normalization is the first step of enhancement algorithm. In this paper, the VLSI design of normalization algorithm is proposed. This paper performs these following tasks. Firstly, the flow of enhancement algorithm and the basic principle of normalization algorithm is introduced. Then, a scheme of VLSI design of normalization algorithm is proposed and described in detail. Finally, we implement this design with Verilog language and present the simulation result with Modesim9.0. The simulation result shows that the scheme proposed in this paper has improved the fingerprint image quality to a certain extent.

Fingerprint Image Enhancement Algorithm Based on FDCT

2011 ◽  
Vol 255-260 ◽  
pp. 2047-2051 ◽  
Author(s):  
Chong Ben Tao ◽  
Guo Dong Liu
Keyword(s):  
Curvelet Transform ◽  
Input Image ◽  
Recognition Algorithm ◽  
Fingerprint Recognition ◽  
Threshold Function ◽  
Fingerprint Image ◽  
Fingerprint Enhancement ◽  
Fast Discrete Curvelet Transform ◽  
Fingerprint Image Enhancement ◽  
Enhancement Algorithm

Fingerprint enhancement is an essential preprocessing step and it is crucial for the efficiency of fingerprint recognition algorithm. We present an enhancement algorithm based on fast discrete curvelet transform (FDCT). First, implement positive transform on input image, namely decompose the image into coarse scales and fine scales coefficients. Then make use of a directional filter and a soft threshold function to enhance image and reduce noise respectively. Finally, implement inverse transform, and reconstruct the enhanced image. Experiments are carried out on FVC2004 databases. For bad quality fingerprints, the results indicate that the proposed algorithm has better enhancement and de-noising effect than traditional methods, and need less time.

Two-Dimensional Sine Filter Fingerprint Enhancement Algorithm Based on Block Level

2011 ◽  
Vol 88-89 ◽  
pp. 596-603
Author(s):  
Xiao Si Zhan ◽  
Ya Yun Chu
Keyword(s):  
Image Enhancement ◽  
Identification System ◽  
Surface Model ◽  
Two Dimensional ◽  
Fingerprint Image ◽  
Fingerprint Enhancement ◽  
Distribution Rule ◽  
Fingerprint Image Enhancement ◽  
Sinusoidal Surface ◽  
Enhancement Algorithm

Enhancing low-quality fingerprint image is the effective method for improving the accuracy of minutia extraction and performance of the automatic fingerprint identification system. Fingerprint image is one kind of regular texture image in nature. To design two-dimensional sinusoidal surface model which accorded with the ridge gray distribution rule and propose the fingerprint image enhancement algorithm based on the two-dimensional sinusoidal surface model after analyzing the basic character of the fingerprint image. The experimental results indicate that the fingerprint image enhancement algorithm has better connecting ability for the broken ridges than the Gabor fingerprint enhancement algorithm. The algorithm can improve effectively the fingerprint image enhancement result and the accuracy of the minutiae extraction.

Sign in / Sign up

Export Citation Format

Share Document