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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...
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