DocumentCode :
1970263
Title :
Implementing Gabor Filter for fingerprint recognition using Verilog HDL
Author :
Razak, A.H.A. ; Taharim, R.H.
Author_Institution :
Center for Electron. Eng. Studies, Univ. Teknol. MARA, Shah Alam
fYear :
2009
fDate :
6-8 March 2009
Firstpage :
423
Lastpage :
427
Abstract :
This paper present the implementations of Gabor filter for fingerprint recognition using Verilog HDL. This work demonstrates the application of Gabor filter technique to enhance the fingerprint image. The incoming signal in form of image pixel will be filter out or convolute by the Gabor filter to define the ridge and valley regions of fingerprint. This is done with the application of a real time convolve based on field programmable gate array (FPGA) to perform the convolution operation. The main characteristic of the proposed approach are the usage of memory to store the incoming image pixel and the coefficient of the Gabor filter before the convolution matrix take place. The result was the signal convoluted with the Gabor coefficient.
Keywords :
Gabor filters; convolution; field programmable gate arrays; fingerprint identification; hardware description languages; image enhancement; logic design; FPGA; Gabor coefficient; Gabor filter; Verilog HDL; convolution matrix; convolution operation; field programmable gate array; fingerprint image enhancement; fingerprint recognition; image pixel; memory usage; signal convolution; Convolution; Digital filters; Fingerprint recognition; Frequency; Gabor filters; Hardware design languages; Image matching; Image segmentation; Nonlinear filters; Pixel; Gabor filter; biometric; digital design; digital filter; fingerprint; image processing; verilog;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing & Its Applications, 2009. CSPA 2009. 5th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-4151-8
Electronic_ISBN :
978-1-4244-4152-5
Type :
conf
DOI :
10.1109/CSPA.2009.5069264
Filename :
5069264
Link To Document :
بازگشت