A neural network based human identification framework using ear images
Alaraj, Maen, Hou, Jingyu and Fukami, Tadanori 2010, A neural network based human identification framework using ear images, in TENCON 2010 : Proceedings of the 2010 IEEE Region 10 Conference, IEEE, Piscataway, N.J., pp. 1595-1600, doi: 10.1109/TENCON.2010.5686043.
This paper presents a framework that uses ear images for human identification. The framework makes use of Principal Component Analysis (PCA) for ear image feature extraction and Multilayer Feed Forward Neural Network for classification. Framework are proposed to improve recognition accuracy of human identification. The framework was tested on an ear image database to evaluate its reliability and recognition accuracy. The experimental results showed that our framework achieved higher stable recognition accuracy and over-performed other existing methods. The recognition accuracy stability and computation time with respect to different image sizes and factors were investigated thoroughly as well in the experiments.
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Field of Research
080106 Image Processing
Socio Economic Objective
890205 Information Processing Services (incl. Data Entry and Capture)
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