FUSING SPEECH SIGNAL AND PALMPRINT FEATURES FOR AN SECURED AUTHENTICATION SYSTEM

ICTACT Journal on Image and Video Processing ( Volume: 2 , Issue: 2 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff861e080000001867010001000300
In the application of Biometric authentication, personal identification is regarded as an effective method for automatic recognition, with a high confidence, a person’s identity. Using multimodal biometric systems we typically get better performance compare to single biometric modality. This paper proposes the multimodal biometrics system for identity verification using two traits, i.e., speech signal and palmprint. Integrating the palmprint and speech information increases robustness of person authentication. The proposed system is designed for applications where the training data contains a speech signal and palmprint. It is well known that the performance of person authentication using only speech signal or palmprint is deteriorated by feature changes with time. The final decision is made by fusion at matching score level architecture in which feature vectors are created independently for query measures and are then compared to the enrolment templates, which are stored during database preparation.

Authors

P.K. Mahesh1 and M.N. Shanmukha Swamy2
Sri Jayachamarajendra College of Engineering, India

Keywords

Multimodal Biometrics, Speech Signal, Palmprint, Fusion, Matching Score

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 2 , Issue: 2 )
Date of Publication
November 2011
Pages
294-298

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in