Text Dependent Speech based Biometric for Mobile Security

Abstract

Mobile is a powerful data communication media through which confidential information can be exchanged. To communicate to the authorized person and network, biometric is used. In this paper, an efficient speaker recognition technique is proposed to solve the authenticity and security problem for the mobile in noisy environment. An effective feature extraction technique and two different speaker verification technique is used and compared to improve the recognition rate of the speaker in the noisy system for effective communication.