Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim

This paper presented the implementations of Gabor filter for fingerprint recognition using Verilog HDL. This work demonstrated 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...

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Main Author: Taharim, Rosshidi Hezrimi
Format: Thesis
Language:English
Published: 2008
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/98427/1/98427.PDF
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spelling my-uitm-ir.984272024-08-06T17:50:41Z Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim 2008 Taharim, Rosshidi Hezrimi QM Human anatomy This paper presented the implementations of Gabor filter for fingerprint recognition using Verilog HDL. This work demonstrated 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 was 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 were the usage of memory to store the incoming image pixel and the coëfficiënt of the Gabor filter before the convolution matrix take place. This FPGA filter can be categories as reconfigurable filter as the characteristic of the Gabor filter can be change by changing the coëfficiënt stored in the memory. 2008 Thesis https://ir.uitm.edu.my/id/eprint/98427/ https://ir.uitm.edu.my/id/eprint/98427/1/98427.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty Of Electrical Engineering
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic QM Human anatomy
spellingShingle QM Human anatomy
Taharim, Rosshidi Hezrimi
Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim
description This paper presented the implementations of Gabor filter for fingerprint recognition using Verilog HDL. This work demonstrated 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 was 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 were the usage of memory to store the incoming image pixel and the coëfficiënt of the Gabor filter before the convolution matrix take place. This FPGA filter can be categories as reconfigurable filter as the characteristic of the Gabor filter can be change by changing the coëfficiënt stored in the memory.
format Thesis
qualification_level Bachelor degree
author Taharim, Rosshidi Hezrimi
author_facet Taharim, Rosshidi Hezrimi
author_sort Taharim, Rosshidi Hezrimi
title Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim
title_short Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim
title_full Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim
title_fullStr Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim
title_full_unstemmed Implementing Gabor filter for fingerprint recognition system using FPGA Verilog HDL / Rosshidi Hezrimi Taharim
title_sort implementing gabor filter for fingerprint recognition system using fpga verilog hdl / rosshidi hezrimi taharim
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty Of Electrical Engineering
publishDate 2008
url https://ir.uitm.edu.my/id/eprint/98427/1/98427.PDF
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