Attacking image recognition CAPTCHAS: a naive but effective approach
TrustBus'10 Proceedings of the 7th international conference on Trust, privacy and security in digital business
Classification of digital photos taken by photographers or home users
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
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This work presents the classification of images collected on the World Wide Web, using a supervised classification method, called ID3 (Itemized Dichotomizer 3). The classification consists in separating the images into two semantic classes: graphics and photographs. Photographs include natural scenes, like people, faces, animals, flowers, landscapes and cities. Graphics are logos, drawings, icons, maps, and backgrounds, usually generated by computer. To validate the classifier we used the k-fold cross-validation method. In the experimental tests 95.6% of the images were correctly classified.