Multimodal Biometrics Enhancement Recognition System based on Fusion of Fingerprint and PalmPrint: A Review

Article ID

CSTGVV7958

Multimodal Biometrics Enhancement Recognition System based on Fusion of Fingerprint and PalmPrint: A Review

Mouad. M.H.Ali
Mouad. M.H.Ali Dr. Babasaheb Ambedkar Marathwada University
A. T. Gaikwad
A. T. Gaikwad
DOI

Abstract

This article is an overview of a current multimodal biometrics research based on fingerprint and palm-print. It explains the pervious study for each modal separately and its fusion technique with another biometric modal. The basic biometric system consists of four stages: firstly, the sensor which is used for enrolment & recognition the biometrics data. Secondly, the pre-processing stage which includes the enhancement and segmentation of Region-Of-Interest ROI. Thirdly, features extracted from the output of the preprocessing and each modal of biometrics having different type of features. Fourthly, the matching stage is to compare the acquired feature with the template in the database. Finally, the database which stores the features for the matching stags. Multimodal is being gathered of various types of biometrics objects from the same human. In this paper, the biometric system gives an explanation for each model. Also, the modalities of biometrics are discussed as well as focused on two different modalities: fingerprint and Palm-Print.

Multimodal Biometrics Enhancement Recognition System based on Fusion of Fingerprint and PalmPrint: A Review

This article is an overview of a current multimodal biometrics research based on fingerprint and palm-print. It explains the pervious study for each modal separately and its fusion technique with another biometric modal. The basic biometric system consists of four stages: firstly, the sensor which is used for enrolment & recognition the biometrics data. Secondly, the pre-processing stage which includes the enhancement and segmentation of Region-Of-Interest ROI. Thirdly, features extracted from the output of the preprocessing and each modal of biometrics having different type of features. Fourthly, the matching stage is to compare the acquired feature with the template in the database. Finally, the database which stores the features for the matching stags. Multimodal is being gathered of various types of biometrics objects from the same human. In this paper, the biometric system gives an explanation for each model. Also, the modalities of biometrics are discussed as well as focused on two different modalities: fingerprint and Palm-Print.

Mouad. M.H.Ali
Mouad. M.H.Ali Dr. Babasaheb Ambedkar Marathwada University
A. T. Gaikwad
A. T. Gaikwad

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Mouad. M.H.Ali. 2016. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F2): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 16 Issue F2
Pg. 13- 26
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GJCST-F Classification: C.2.0
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Multimodal Biometrics Enhancement Recognition System based on Fusion of Fingerprint and PalmPrint: A Review

Mouad. M.H.Ali
Mouad. M.H.Ali Dr. Babasaheb Ambedkar Marathwada University
A. T. Gaikwad
A. T. Gaikwad

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