Fingerprint recognition based on Gabor features extraction

المؤلفون المشاركون

al-Shuwayli, Sad O. Ajami
al-Ibrahim, Kazim H. Kuban

المصدر

Journal of College of Education for Pure Sciences

العدد

المجلد 10، العدد 2 (30 يونيو/حزيران 2020)، ص ص. 96-102، 7ص.

الناشر

جامعة ذي قار كلية التربية للعلوم الصرفة

تاريخ النشر

2020-06-30

دولة النشر

العراق

عدد الصفحات

7

التخصصات الرئيسية

الأحياء

الملخص EN

In this paper, we present a novel algorithm to identify an individual person using fingerprint matching technique.

we use fingerprint segmentation and Gabor filter to extract Gabor features from a finger image we use our fingerprint hash and Gabor filter to extract Gabor features from fingerprint image captured by the jpg image format.

the proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of fingerprint matcher and the work was carried out using an HP computer with specifications Core i7, Hard 500 GB and 4 GB RAM.

using the language of Matlab2013.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Shuwayli, Sad O. Ajami& al-Ibrahim, Kazim H. Kuban. 2020. Fingerprint recognition based on Gabor features extraction. Journal of College of Education for Pure Sciences،Vol. 10, no. 2, pp.96-102.
https://search.emarefa.net/detail/BIM-1388416

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Shuwayli, Sad O. Ajami& al-Ibrahim, Kazim H. Kuban. Fingerprint recognition based on Gabor features extraction. Journal of College of Education for Pure Sciences Vol. 10, no. 2 (Jun. 2020), pp.96-102.
https://search.emarefa.net/detail/BIM-1388416

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Shuwayli, Sad O. Ajami& al-Ibrahim, Kazim H. Kuban. Fingerprint recognition based on Gabor features extraction. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 2, pp.96-102.
https://search.emarefa.net/detail/BIM-1388416

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 101-102

رقم السجل

BIM-1388416