Decision Fusion Comparison for a Biometric Verification System Using Face and Speech

Malaysian Journal of Computer Science

Andrew Beng Jin Teoh¹  Aini Hussain¹  Salina Abdul Samad¹ 

关键词: Biometrics;    Face verification;    Speech verification;    Fusion decision;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

This paper presents several fusion decision techniques comparison for a bimodal biometric verification system that makes use of face images and speech utterances.The system is essentially constructed by a face expert, a speech expert and a fusion decision module.Each individual expert has been optimised to operate in automatic mode and designed for security access application.Fusion decision schemes considered are the voting technique, ordinary and modified k-Nearest Neighborhood classifier and linear Support Vector Machine.The aim is to obtain the optimum fusion module from amongst these five techniques best suited to the target application.

【 授权许可】

Unknown