Speed Sign Recognition Using Sequential Cascade AdaBoost Classifier with Color Features

Speed Sign Recognition using Shape-based Features

An efficient shape-based recognition system of U.S. speed limit road signs is presented in this paper. The proposed system accomplishes speed sign detection and recognition processes using three main stages, namely, geometrical-based detection of rectangular road signs, shape-based segmentation and feature extraction, and pattern classification using a K-nearest neighbor classifier (KNN). Twent...

Obscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier

Large exposure of skin area of an image is considered obscene. This only fact may lead to many false images having skin-like objects and may not detect those images which have partially exposed skin area but have exposed erotogenic human body parts. This paper presents a novel method for detecting nipples from pornographic image contents. Nipple is considered as an erotogenic organ to identify ...

AdaBoost Gabor Fisher Classifier for Face Recognition

This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed and applied to face recognition with impressive recognition performance. Gabor features have been recognized as one of the most successful face representations, but it is too high dimensional for fast extraction and acc...

Traffic Sign Recognition Using Extreme Learning Classifier with Deep Convolutional Features

Traffic sign recognition is an important but challenging task, especially for automated driving and driver assistance. Its accuracy depends on two aspects: feature extractor and classifier. Current popular algorithms mainly use convolutional neural networks (CNN) to execute both feature extraction and classification. Such methods could achieve impressive results but usually on the basis of an e...

Reliable Recognition of Handwritten Digits Using A Cascade Ensemble Classifier System and Hybrid Features