Multimodal Face and Ear Images | Science Publications

Journal of Computer Science

A. F. Ali¹  A. A. Darwish¹  R. A. Elghafar¹ 

关键词: Face recognition;    ear recognition;    PCA;    algorithms;    eigenfaces;    eigenears;    pattern recognition;   

DOI  :  10.3844/jcssp.2009.374.379

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: The study presented in this study to combined face and ear algorithms as an application of human identification. Biometric system to the detection and identification of human faces and ears developed a multimodal biometric system using eigenfaces and eigenears. Approach: The proposed system used the extracted face and ear images to develop the respective feature spaces via the PCA algorithm called eigenfaces and eigenears, respectively. The proposed system showed promising results than individual face or ear biometrics investigated in the experiments. Results: The final achieve was then used to affirm the person as genuine or an impostor. System was tested on several databases and gave an overall accuracy of 92.24% with FAR of 10% and FRR of 6.1%. Conclusion: The results display if we combined face and ear is a good technique because it offered a high accuracy and security.

【 授权许可】

Unknown