Palmprint identification via GLCM of Contourlet transform

Younesi, Ali; Amirani, Mehdi Chehel

doi:10.1109/iccspa.2013.6487299

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Therefore palm print finger print are the reliable methods for recognition. Many researchers have been proposed their algorithm for Biometric recognition methods for palm print recognition [2]- [4], [11] Fingerprint [5,6,7,10] .Hand geometry [13].…”

Section: Introductionmentioning

confidence: 99%

Multimodal biometric system based on Matching Score Level Fusion of Palm print And Finger print.

Shaikh¹,

D.Kolekar²

2017

IOSR JEEE

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In multimodal biometric technique strength of unimodal system biometrics are combined to increase recognition accuracy of the system. In this paper palm print and finger print biometrics are used to design robust recognition system. A feature of palm print are extracted with gray level co-occurrence based Harlick features and feature of finger print are extracted with minutiae based techniques. The proposed system is tested on publically available IIT Delhi Touch less Palm print database and FVC 2002 database for finger print. In this paper matching score level fusion technique with weighted sum rule based fusion is applied to fuse their individual score of palm print, finger print traits. The recognition accuracy is improved and it is found good as compared with recognition accuracy of individual traits. The multimodal system is evaluated on the basis of performance parameter, Accuracy 99.93 %, and Equal Error Rate (EER) is 0.0006.

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Section: Introductionmentioning

confidence: 99%