![](/images/graphics-bg.png)
A multimodal biometric system based on palmprint and finger knuckle print : recognition methods
المؤلفون المشاركون
Perumal, Esther
Ramachandran, Shanmugalakshmi
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 12، العدد 2 (31 مارس/آذار 2015)11ص.
الناشر
تاريخ النشر
2015-03-31
دولة النشر
الأردن
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Biometric authentication is an effective method for automatically recognizing a person’s identity.
In our previous paper, we have considered palm print for human authentication.
Recently, it has been found that the Finger Knuckle Print (FKP), which refers to the inherent skin patterns of the outer surface around the phalangeal joint of one’s finger, has high capability to discriminate different individuals, making it an emerging biometric identifier.
In this paper, the local convex direction map of the FKP image is extracted.
Then the local features of the enhanced FKP are extracted using the Scale Invariant Feature Transform (SIFT), the Speeded up Robust Features (SURF) and Frequency Feature.
SIFT are formed by means of local patterns around key-points from scale space decomposed image.
Feature vectors through SURF are formed by means of local patterns around key-points which are detected using scaled up filter.
The Frequency range of pixel levels in each image is employed by using Empirical Mode Decomposition (EMD).
For the authentication of FKP image, we used shortest distance between the query image and the database, to evaluate their similarity.
Here we use PolyU FKP database images to examine the performance of the proposed system.
The proposed biometric system is implemented in MATLAB and compared with the previous palm print human authentication system.
For the same person, the matching score of the two methods are fused for the multimodal biometric recognition.
The experimental results demonstrated the efficiency and effectiveness of this new biometric characteristic.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Perumal, Esther& Ramachandran, Shanmugalakshmi. 2015. A multimodal biometric system based on palmprint and finger knuckle print : recognition methods. The International Arab Journal of Information Technology،Vol. 12, no. 2.
https://search.emarefa.net/detail/BIM-368813
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Perumal, Esther& Ramachandran, Shanmugalakshmi. A multimodal biometric system based on palmprint and finger knuckle print : recognition methods. The International Arab Journal of Information Technology Vol. 12, no. 2 (Mar. 2015).
https://search.emarefa.net/detail/BIM-368813
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Perumal, Esther& Ramachandran, Shanmugalakshmi. A multimodal biometric system based on palmprint and finger knuckle print : recognition methods. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 2.
https://search.emarefa.net/detail/BIM-368813
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references.
رقم السجل
BIM-368813
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)