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Hardware core of pipelined thinning algorithm

The process to associate a particular individual with an identity is known as personal recognition. One of the recognition system type is biometrics system. A biometric system is essentially a pattern recognition system that that performs authentication based on the individual’s behavioural or physi...

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Main Author: Noordin, Mohamad Amin
Format: Thesis
Language:English
Published: 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/60941/1/MohamadAminNoordinMFKE2015.pdf
http://eprints.utm.my/id/eprint/60941/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:94132
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spelling my.utm.609412021-01-13T08:54:41Z http://eprints.utm.my/id/eprint/60941/ Hardware core of pipelined thinning algorithm Noordin, Mohamad Amin TK Electrical engineering. Electronics Nuclear engineering The process to associate a particular individual with an identity is known as personal recognition. One of the recognition system type is biometrics system. A biometric system is essentially a pattern recognition system that that performs authentication based on the individual’s behavioural or physiological characteristics. One of the method is finger vein biometrics, which is an authentication technique that identify individuals and verify identity based on the images of human finger veins beneath the skin. There are a lot of process involved in a complete biometrics system. One of the process is thinning. Thinning or skeletonization is a process that extracts the vein patterns from binary image and produces 1-pixel wide output binary image as the result. Existing biometrics system have their own weaknesses and drawbacks such as not showing "aliveness" and also easy to be tampered with. Moreover, software implementation of biometrics system usually performed in an insecure environment and biometrics template stored in a central server. This is insecure and can cause leakage of information. Furthermore, thinning is a time consuming process, which takes a very long time to be completed in software implementation. So the objective of this work is to design a dedicated hardware core for thinning algorithm, implement and enhance the existing algorithm for better hardware performance, and apply pipeline architecture to the hardware design to further speed-up thinning process. This work will implement the algorithm in software and hardware. Hardware implementation of the algorithm is compared with software implementation in terms of accuracy and performance (speed). The hardware core designed managed to achieve a significant improvement in processing time. The work done in this project also managed to map a complex algorithm into hardware implementation and is the first one to implement thinning hardware design using System Verilog. 2015-06 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/60941/1/MohamadAminNoordinMFKE2015.pdf Noordin, Mohamad Amin (2015) Hardware core of pipelined thinning algorithm. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:94132
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Noordin, Mohamad Amin
Hardware core of pipelined thinning algorithm
description The process to associate a particular individual with an identity is known as personal recognition. One of the recognition system type is biometrics system. A biometric system is essentially a pattern recognition system that that performs authentication based on the individual’s behavioural or physiological characteristics. One of the method is finger vein biometrics, which is an authentication technique that identify individuals and verify identity based on the images of human finger veins beneath the skin. There are a lot of process involved in a complete biometrics system. One of the process is thinning. Thinning or skeletonization is a process that extracts the vein patterns from binary image and produces 1-pixel wide output binary image as the result. Existing biometrics system have their own weaknesses and drawbacks such as not showing "aliveness" and also easy to be tampered with. Moreover, software implementation of biometrics system usually performed in an insecure environment and biometrics template stored in a central server. This is insecure and can cause leakage of information. Furthermore, thinning is a time consuming process, which takes a very long time to be completed in software implementation. So the objective of this work is to design a dedicated hardware core for thinning algorithm, implement and enhance the existing algorithm for better hardware performance, and apply pipeline architecture to the hardware design to further speed-up thinning process. This work will implement the algorithm in software and hardware. Hardware implementation of the algorithm is compared with software implementation in terms of accuracy and performance (speed). The hardware core designed managed to achieve a significant improvement in processing time. The work done in this project also managed to map a complex algorithm into hardware implementation and is the first one to implement thinning hardware design using System Verilog.
format Thesis
author Noordin, Mohamad Amin
author_facet Noordin, Mohamad Amin
author_sort Noordin, Mohamad Amin
title Hardware core of pipelined thinning algorithm
title_short Hardware core of pipelined thinning algorithm
title_full Hardware core of pipelined thinning algorithm
title_fullStr Hardware core of pipelined thinning algorithm
title_full_unstemmed Hardware core of pipelined thinning algorithm
title_sort hardware core of pipelined thinning algorithm
publishDate 2015
url http://eprints.utm.my/id/eprint/60941/1/MohamadAminNoordinMFKE2015.pdf
http://eprints.utm.my/id/eprint/60941/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:94132
_version_ 1690370949149360128
score 13.211869

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