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It is common for libraries to provide public access to historical and ancient document image collections. Such document images to require specialized processing in order to remove background noise and become more legible. In this paper the proposed approach is adapted from the kavallieratov's algorithm for cleaning background noise from the ancient documents by iterative global thresholding and local...
Segmentation of touching hand written numerals and alphabets is a difficult task for recognizing individual characters. In this paper, the proposed algorithm is adopted from condego for the segmentation of hand written touching numerals, and is extended to segment the touching hand written English alphabets. The proposed method using Drop-fall algorithm is based on the moving of a marble on either...
In this paper, a novel heuristic based approach adopted from George D.C. Calvacanti algorithm for removing background noise from all types of images with complex background is presented. In this approach Binarization is done by selecting two threshold values, one for foreground and another for background for the separation. Morphological techniques are used for improving the quality of the resultant...
The transformation from the traditional paper based society to a truly paperless information society involves huge amount of knowledge with necessary algorithmic approaches in the area of Document Image Processing. Progress in Indic Script analysis gained momentum in the recent period. Individual characters in these scripts undergo large number of shape variations due to complex nature of the canonical...
Document classification is one of the recent areas of research evolved as a result of exponential growth in the quantum electronic form of documents. Various document representation methods based on linguistic knowledge are revisited in literature. Adaptability of N-gram models on various languages is the recent trend. In this paper an attempt is made to analyze character N-gram model on Telugu documents...
A general design procedure is suggested for the micro strip antennas using artificial neural networks and this is demonstrated using the rectangular patch geometry. In the design procedure, synthesis and analysis are defined as forward side and reverse side of the problem.
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