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Present paper explores gray-level texture features and their extension to color spaces to check their robustness and feasibility in hand detection system. A bare hand detection is affected by uneven illumination, skin tone variation, affine distortions, position variation, complex background, etc., which also effects the performance of features as well as learning ability of classifiers. Despite all,...
Medical Image retrieval and similar image classification are the two important aspects in decision making and automatic medical image annotation. These approaches help the doctors and radiologists in their decision making during decease identification and decision making. Image classification is usually done by checking image visual content or semantic content similarity. Image content may be represented...
Face annotation presents a challenging crisis in the field of image analysis and computer vision. Face annotation techniques are used for adding name to a facial image. It is also acknowledged a great deal of many applications in various fields. This paper mainly focused on the survey of face annotation techniques related to Content, Retrieval, Search, Cluster and Caption based methods. These methods...
Optical character recognition or OCR becomes necessary first step for all applications that consider typewritten or handwritten manuscripts as input. We need to train our classifier in case we are considering to use data mining techniques for such purposes. There are several established generic classification techniques that can be used together with feature extraction mechanisms but it is important...
In this paper, we propose a new hierarchical segment learning approach for extraction and classification of roadside objects. The proposed approach is based on hierarchical segment extraction and classification of segmented objects using a neural network. In this approach, we extract different road objects such as sky, road, sign and vegetation in hierarchical stages and classify them using a neural...
This paper presents a new approach of combining clustering and neural network classifier for the classification of road images into road and sky segments. The proposed approach first creates clusters for each available class and then uses these clusters to form subclasses for each extracted road image segment. The integration of clusters in the classification process is designed to increase the learning...
In the field of secure communication, an explosive growth is observed in biometric personal authentication and recognition systems for the last few decades. Biometric system involves establishing the human identity based on a physical or behavioral trait. In the recent studies, various biometric traits including face, iris, ear, gait, palm and knuckle joints have been investigated. Inaccuracy due...
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