Hardware prototyping of Iris recognition system: A neural network approach

Iris recognition, a relatively new biometric technology, possesses great advantages, such as variability, stability and security, making it to be the most promising method for high security environments. A novel hardware-based iris recognition system is proposed in this paper, which consists of two...

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Main Authors:	Florence Choong Chiao Mei, Mamun Ibne Reaz, Tan, Ai Leng, Faisal Mohd Yasin
Format:	Article
Language:	English
Published:	penerbit UKM 2007
Online Access:	http://journalarticle.ukm.my/1474/ http://journalarticle.ukm.my/1474/ http://journalarticle.ukm.my/1474/1/2007-Article_7_K-19.pdf

id	ukm-1474
recordtype	eprints
spelling	ukm-14742016-12-14T06:29:33Z http://journalarticle.ukm.my/1474/ Hardware prototyping of Iris recognition system: A neural network approach Florence Choong Chiao Mei, Mamun Ibne Reaz, Tan, Ai Leng Faisal Mohd Yasin, Iris recognition, a relatively new biometric technology, possesses great advantages, such as variability, stability and security, making it to be the most promising method for high security environments. A novel hardware-based iris recognition system is proposed in this paper, which consists of two main parts: image processing and recognition. Image processing involves histogram stress, thresholding, cropping, transformation and normalizing that is performed by using Matlab. Multilayer perceptron architecture with backpropagation algorithm is employed to recognize iris pattern. The entire architecture was modeled using VHDL, a hardware description language. The approach obtained a recognition accuracy of 98.5%. The design was successfully implemented, tested and validated on Altera Mercury EP1M120F484C5 FPGA utilizing 4157 logic cells and achieved a maximum frequency of 121.87 MHz. This novel and efﬁcient method in hardware, based on FPGA technology showed improved performance over existing approaches for iris recognition penerbit UKM 2007 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/1474/1/2007-Article_7_K-19.pdf Florence Choong Chiao Mei, and Mamun Ibne Reaz, and Tan, Ai Leng and Faisal Mohd Yasin, (2007) Hardware prototyping of Iris recognition system: A neural network approach. Jurnal Kejuruteraan, 19 . pp. 77-86. http://www.ukm.my/jkukm/index.php/jkukm
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Iris recognition, a relatively new biometric technology, possesses great advantages, such as variability, stability and security, making it to be the most promising method for high security environments. A novel hardware-based iris recognition system is proposed in this paper, which consists of two main parts: image processing and recognition. Image processing involves histogram stress, thresholding, cropping, transformation and normalizing that is performed by using Matlab. Multilayer perceptron architecture with backpropagation algorithm is employed to recognize iris pattern. The entire architecture was modeled using VHDL, a hardware description language. The approach obtained a recognition accuracy of 98.5%. The design was successfully implemented, tested and validated on Altera Mercury EP1M120F484C5 FPGA utilizing 4157 logic cells and achieved a maximum frequency of 121.87 MHz. This novel and efﬁcient method in hardware, based on FPGA technology showed improved performance over existing approaches for iris recognition
format	Article
author	Florence Choong Chiao Mei, Mamun Ibne Reaz, Tan, Ai Leng Faisal Mohd Yasin,
spellingShingle	Florence Choong Chiao Mei, Mamun Ibne Reaz, Tan, Ai Leng Faisal Mohd Yasin, Hardware prototyping of Iris recognition system: A neural network approach
author_facet	Florence Choong Chiao Mei, Mamun Ibne Reaz, Tan, Ai Leng Faisal Mohd Yasin,
author_sort	Florence Choong Chiao Mei,
title	Hardware prototyping of Iris recognition system: A neural network approach
title_short	Hardware prototyping of Iris recognition system: A neural network approach
title_full	Hardware prototyping of Iris recognition system: A neural network approach
title_fullStr	Hardware prototyping of Iris recognition system: A neural network approach
title_full_unstemmed	Hardware prototyping of Iris recognition system: A neural network approach
title_sort	hardware prototyping of iris recognition system: a neural network approach
publisher	penerbit UKM
publishDate	2007
url	http://journalarticle.ukm.my/1474/ http://journalarticle.ukm.my/1474/ http://journalarticle.ukm.my/1474/1/2007-Article_7_K-19.pdf
first_indexed	2023-09-18T19:33:25Z
last_indexed	2023-09-18T19:33:25Z
_version_	1777405112671535104

Hardware prototyping of Iris recognition system: A neural network approach

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