DocumentCode :
2987959
Title :
Fingerprint verification in multimodal biometrics
Author :
Marupudi, Naveena ; John, Eugene ; Hudson, Fred
Author_Institution :
Department of Electrical & Computer Engineering, University of Texas at San Antonio, USA
fYear :
2006
fDate :
7-9 April 2006
Firstpage :
130
Lastpage :
136
Abstract :
The need to ensure security has spurred the growth of biometric verification. Biometric systems using a single biometric trait for authentication purposes have some limitations. In order to overcome this we are investigating multiple sensors that capture different biometric traits. Multimodal biometrics has the potential to overcome these limitations by improving system security levels and increasing the accuracy. This paper focuses on fingerprint verification as part of a fusion of biometric modalities such as voice and fingerprint. Fingerprint verification is one of the most reliable biometric techniques for personal identification. We determined that to merge the fingerprint system with voice verijication we need to develop our own algorithms for fingerprint verification. We describe the design and implementation of a fingerprint verification system that operates in two stages: minutia extraction and minutia matching. An improved version of the minutiae extraction algorithm was identified in literature and is implemented for extracting features from fingerprint images.
Keywords :
Algorithm design and analysis; Authentication; Biometrics; Biosensors; Computer security; Feature extraction; Fingerprint recognition; Hardware; Image matching; Universal Serial Bus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Region 5 Conference, 2006 IEEE
Conference_Location :
San Antonio, TX, USA
Print_ISBN :
978-1-4244-0358-5
Electronic_ISBN :
978-1-4244-0359-2
Type :
conf
DOI :
10.1109/TPSD.2006.5507443
Filename :
5507443
Link To Document :
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