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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/3822
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タイトル: | Age and Gender Recognition Using Facial Edge Information |
著者: | Nakano, Miyoko Fukumi, Minoru |
キーワード: | age recognition gender recognition neural networks facial edge information |
発行日: | Nov-2005 |
出版者: | JAIST Press |
抄録: | In the marketing field, it is very useful to collect the customer data of age and gender etc. For age and gender recognition, 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 feature extraction. They are treated as input data to a neural network (NN). These simulations are tried toward the face image database which collected face images of 15-64 years old. We perform the psychology experiment to know how humans are recognizing human’s age. The result is compared with the result by NN. In order to show the effectiveness of the proposed method, computer simulations are carried out using these face images. |
記述: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2032, Kobe, Japan Symposium 3, Session 2 : Intelligent Information Technology and Applications Pattern Recognitiion with Applications |
言語: | ENG |
URI: | http://hdl.handle.net/10119/3822 |
ISBN: | 4-903092-02-X |
出現コレクション: | IFSR 2005
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このアイテムのファイル:
ファイル |
記述 |
サイズ | 形式 |
20097.pdf | | 313Kb | Adobe PDF | 見る/開く |
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