Abstract
For achieving high-accurate age classification, this study focuses on the edge information that consists of all wrinkles in a face and also a neck. Density histogram in which the value of the edge intensity of the vertical direction and the horizontal direction in an image is greater than a threshold value is computed by using the edge information. They are treated as input data to a neural network. This classification is tried toward the face image database which collected face images of 15-64 years old. In order to show the effectiveness of the proposed method, computer simulations are carried out using these real images.
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Nakano, M., Yasukata, F., Fukumi, M. (2004). Age Classification from Face Images Focusing on Edge Information. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_121
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DOI: https://doi.org/10.1007/978-3-540-30132-5_121
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
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