Finger knuckle print recognition using MMDA with fuzzy vault
المؤلفون المشاركون
Arunachalamand, MuthuKumar
Amuthan, Kavipriya
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 17، العدد 4 (31 يوليو/تموز 2020)، ص ص. 554-561، 8ص.
الناشر
جامعة الزرقاء عمادة البحث العلمي
تاريخ النشر
2020-07-31
دولة النشر
الأردن
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Currently frequent biometric scientific research such as with biometric applications like face, iris, voice, hand-based biometrics traits like palm print and fingerprint technique are utilized for spotting out the persons.
These specific biometrics habits have their own improvement and weakness so that no particular biometrics can adequately opt for all terms like the accuracy and cost of all applications.
In recent times, in addition, to distinct with the hand-based biometrics technique, Finger Knuckle Print (FKP) has been appealed to boom the attention among biometric researchers.
The image template pattern formation of FKP embraces the report that is suitable for spotting the uniqueness of individuality.
This FKP trait observes a person based on the knuckle print and the framework in the outer finger surface.
This FKP feature determines the line anatomy and finger structures which are well established and persistent throughout the life of an individual.
In this paper, a novel method for personal identification will be introduced, along with that data to be stored in a secure way has also been proposed.
The authentication process includes the transformation of features using 2D Log Gabor filter and Eigen value representation of Multi-Manifold Discriminant Analysis (MMDA) of FKP.
Finally, these features are grouped using k-means clustering for both identification and verification process.
This proposed system is initialized based on the FKP framework without a template based on the fuzzy vault.
The key idea of fuzzy vault storing is utilized to safeguard the secret key in the existence of random numbers as chaff pints.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Arunachalamand, MuthuKumar& Amuthan, Kavipriya. 2020. Finger knuckle print recognition using MMDA with fuzzy vault. The International Arab Journal of Information Technology،Vol. 17, no. 4, pp.554-561.
https://search.emarefa.net/detail/BIM-1430901
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Arunachalamand, MuthuKumar& Amuthan, Kavipriya. Finger knuckle print recognition using MMDA with fuzzy vault. The International Arab Journal of Information Technology Vol. 17, no. 4 (Jul. 2020), pp.554-561.
https://search.emarefa.net/detail/BIM-1430901
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Arunachalamand, MuthuKumar& Amuthan, Kavipriya. Finger knuckle print recognition using MMDA with fuzzy vault. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4, pp.554-561.
https://search.emarefa.net/detail/BIM-1430901
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 560-561
رقم السجل
BIM-1430901
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر