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Digitizing tablets provides a faster and accurate method to input handwritten characters to the computer. Recognition of Urdu handwritten characters is a difficult task due to large character set of Urdu and redundancy of the strokes. In this paper we present a method for online recognition of single stroke handwritten Urdu characters. Novel features have been proposed to ease classification. Digitizing...
Unsupervised classification algorithms have tendency to form more clusters in the upper range of tin- features used for classification. In case of polarimetric SAR.. this means that, different areas having low polarimetric response will be merged into a single cluster and an area with large polarimetric response will be segmented into many clusters. This, for example, occurs in the areas like water,...
This paper presents a set of effective features derived from the coherence matrix of polarimetric SAR data. Neural network is used as the classification engine. The maximum likelihood estimator (MLE) result is used as the reference to compare the result of the proposed method. It is demonstrated that the average classification accuracy by the proposed method is more than that by the MLE. The maximum...
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