Fingerprint recognition using gabor filter with neural network
Other Title(s)
ﺗﻤﯿﯿﺰ ﺑﺼﻤﺔ الإبهام ﺑﺎﺳﺘﺨﺪام ﻣﺮﺷﺢ ﻛﺎﺑﻮر ﻣﻊ اﻟﺸﺒﻜﺎت اﻟﻌﺼﺒﯿﺔ
Joint Authors
Ali, Iqbal Husayn
Ali, Husam A. A.
Jabir, Hanadi A.
Source
Engineering and Technology Journal
Issue
Vol. 32, Issue 2A (28 Feb. 2014), pp.339-353, 15 p.
Publisher
Publication Date
2014-02-28
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Topics
Abstract AR
التصنيف الآلي و مطابقة صورة بصمة الإبهام في تمييز النماذج لا تزال مستمرة البحث من القرون الماضية.
هذا البحث اقترح طريقة لكشف منطقة إعادة التدوير اعتمادا على (EGR) التي تحدد أكبر منطقة لتدوير بصمة الإبهام .
مرشح Gabor يطبق لاستخلاص صفات البصمة لصور المستوى الرمادي بدون معالجات أولية أو لغرض التصنيف استخدمت الشبكة العصبية من النوع متعد الطبقات ذات التعليم المتكيف.
تضمن البحث مقارنة بين استخدام تخمين منطقة التدوير و بدون استخدام الخوارزمية و تبين من خلال النتائج أن استخدام مرشح Gabor بدون خوارزمية يعطي نتائج ممتازة في تصنيف النماذج و لكن
Abstract EN
The automated classification and matching of fingerprint images has been a challenging problem in pattern recognition over the past decades.
This paper proposes a method to detect the rotation region based on Estimate Global Region (EGR) that has the maximum rotation region.
The Gabor filter based feature is applied for extracting fingerprint features from gray level images without preprocessing.
The fingerprint recognition is developed by neural networks with adaptive learning rate.
The paper contains a comparison between using EGR algorithm and without using EGR.
The Gabor filter without EGR gives the best result for the fingerprint recognition with outrotation while the rotation of the fingerprint with angles (5o, 10o and 20o) gives worse results in fingerprint recognition.
The proposalmethod gives best result in rotation the fingerprint image with and without the rotation of the same angles.
The result of the correlation for the proposalmethod is 99 %.
American Psychological Association (APA)
Ali, Iqbal Husayn& Ali, Husam A. A.& Jabir, Hanadi A.. 2014. Fingerprint recognition using gabor filter with neural network. Engineering and Technology Journal،Vol. 32, no. 2A, pp.339-353.
https://search.emarefa.net/detail/BIM-370942
Modern Language Association (MLA)
Ali, Husam A. A.…[et al.]. Fingerprint recognition using gabor filter with neural network. Engineering and Technology Journal Vol. 32, no. 2A (2014), pp.339-353.
https://search.emarefa.net/detail/BIM-370942
American Medical Association (AMA)
Ali, Iqbal Husayn& Ali, Husam A. A.& Jabir, Hanadi A.. Fingerprint recognition using gabor filter with neural network. Engineering and Technology Journal. 2014. Vol. 32, no. 2A, pp.339-353.
https://search.emarefa.net/detail/BIM-370942
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 384-353
Record ID
BIM-370942