A New Approach for Iris and Fingerprint Recognition based on KPCA and LLE Algorithm

Amirthalingam, Gandhimathi and Thangavel, Midun (2018) A New Approach for Iris and Fingerprint Recognition based on KPCA and LLE Algorithm. International Journal of Science Technology & Engineering, 4 (10). pp. 213-217. ISSN 2349-784X


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Official URL | رابط موقع المجلة: http://www.ijste.org/articles/IJSTEV4I10083.pdf

Abstract|ملخص البحث

The paper presents the fusion of two biometric iris and fingerprint to improve the recognition rate. A solution based on Kernel Principal Component Analysis (KPCA) and Locally Linear Embedding (LLE) algorithms are proposed for the iris and fingerprint recognition respectively. The KPCA is one of the most successful techniques that have been used to recognize iris. A non-linear algorithm called Locally Linear Embedding belonging to manifold learning technique is introduced and applied to recognize fingerprint. LLE is considered an effective algorithm for dimensional reduction. LLE preserves intrinsic structure and relationships in a high dimensional space when data are mapped into low dimensional space. The proposed system shows that multimodal the recognition system is very effective to reduce the false rejection rate (FRR) and false acceptance rate (FAR).

Item Type|تصنيف النتاج العلمي: Article| منشور علمي
Subjects | مجال موضوع النشر: Computer
Computer Engineering
Computer Networks and Communications Engineering
Computer Sciences
Computer Sciences and Information Systems
Information Systems
Programming and Computer Operation
Divisions | الكلية: College of Sciences and Arts - Rejal Almae > Computer Sciences
Depositing User: Dr Gandhimathi Amirthalingam
Date Deposited: 23 Dec 2018 10:07
Last Modified: 23 Dec 2018 10:07
URI: http://eprints.kku.edu.sa/id/eprint/4187

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