DocumentCode
606128
Title
Multimodal biometric approach using fingerprint, face and enhanced iris features recognition
Author
Ravi, Siddarth ; Mankame, Dattatreya P.
Author_Institution
Department of Computer Science, Pondicherry University, Puducherry, India
fYear
2013
fDate
20-21 March 2013
Firstpage
1143
Lastpage
1150
Abstract
For the last decade of year major promotions have propelled in various biometric techniques. This paper outlines a review on various biometric authentication modalities, their merits and demerits. It also discusses comparative analysis of biometric advancement in the face, fingerprint recognition, iris feature areas. To overwhelm the weakness of the Unimodal Biometric techniques, there is destitution of Multimodal biometric techniques. This paper also states a few multimodal biometric techniques and their pitfalls. This survey follows as a consequence and specified way the importance of a strong multimodal biometric technique using face, fingerprint recognition and enhanced iris features.
Keywords
Biomedical imaging; Face recognition; Image recognition; Image resolution; Propulsion; Biometrics; Face Recognition; Finger Print; Iris Features; Multimodal;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
Conference_Location
Nagercoil
Print_ISBN
978-1-4673-4921-5
Type
conf
DOI
10.1109/ICCPCT.2013.6528884
Filename
6528884
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