Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
International Journal of Soft Computing
Year: 2014  |  Volume: 9  |  Issue: 4  |  Page No.: 246 - 254

Multimodal Biometric Authentication System Based Performance Scrutiny

R. Manju, A. Shajin Nargunam and A. Rajendran    

Abstract: In many real-world applications, Unimodal Biometric Systems often face significant limitations due to sensitivity to noise, intraclass variability, data quality, non-universality and other factors. Multibiometric Systems seek to alleviate some of these problems by providing multiple pieces of evidence of the same identity. This study presents an effective fusion scheme that combines information presented by multiple domain experts based on the Rank-Level Fusion Integration Method. The developed Multimodal Biometric System possesses a number of unique qualities, starting from utilizing principal component analysis and Fisher’s Linear Discriminant Methods for individual matchers (face, iris and fingerprint) identity authentication and utilizing the Novel Rank-Level Fusion Method in order to consolidate the results obtained from different biometric matchers.The results indicate that fusion of individual modalities can improve the overall performance of the Biometric System, even in the presence of low quality data.

Fulltext    |   Related Articles   |   Back
 
 
   
 
 
 
  Related Articles

 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility