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. © Springer-Verlag 2004.
CITATION STYLE
Nakano, M., Yasukata, F., & Fukumi, M. (2004). Age Classification from Face Images Focusing on Edge Information. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3213, 898–904. https://doi.org/10.1007/978-3-540-30132-5_121
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