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
Link To Document :
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