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Information Journal Paper

Title

ROBUST IDENTIFICATION BASE ON EXTRACTED FEATURES WITH VISUAL VENTRAL STREAM

Pages

  11-19

Abstract

 Biometrics based personal identification is regarded as an effective method for automatic identification, with a high confidence coefficient. A multi modal biometric system consolidates the evidence presented by multiple biometric sources and typically provides better recognition performance compared to systems based on a single biometric modality. So in this paper we use combination of Face, Palm print and Ear characteristic to individual’s authentication.In our approach, features extracted using HMAX MODEL are translation and scale-invariant. Then we applied Support vector machine and K-nearest neighbor classifiers to distinguish the classes. In fusion stage we use matching-score level. Experimental results showed 96% accuracy rate on ORL Face database and 96/6% accuracy rate on POLYU Palm print database and 97% accuracy rate on USTB Ear database; however we achieve 100% accuracy rate on Face, Palm print and Ear multi modal biometric.

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    APA: Copy

    YAGHOUBI, ZOHREH, ELIASI, MORTEZA, & ELIASI, ARDALAN. (2009). ROBUST IDENTIFICATION BASE ON EXTRACTED FEATURES WITH VISUAL VENTRAL STREAM. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), 1(4), 11-19. SID. https://sid.ir/paper/186477/en

    Vancouver: Copy

    YAGHOUBI ZOHREH, ELIASI MORTEZA, ELIASI ARDALAN. ROBUST IDENTIFICATION BASE ON EXTRACTED FEATURES WITH VISUAL VENTRAL STREAM. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)[Internet]. 2009;1(4):11-19. Available from: https://sid.ir/paper/186477/en

    IEEE: Copy

    ZOHREH YAGHOUBI, MORTEZA ELIASI, and ARDALAN ELIASI, “ROBUST IDENTIFICATION BASE ON EXTRACTED FEATURES WITH VISUAL VENTRAL STREAM,” JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), vol. 1, no. 4, pp. 11–19, 2009, [Online]. Available: https://sid.ir/paper/186477/en

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