Gender Classification by Using Edge Oriented Histograms and Edge Density of Face Images and AdaBoost Algorithm
碩士 === 國立臺北大學 === 資訊工程學系 === 101 === Gender has always been an important trait of human being. It is the most direct way to use face features to identify one’s gender. With the advance of computer vision of recognition technology, many good recognition techniques have been developed in the past days...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/29629740970233980252 |