The paper discusses problems of handwritten text recognition in medical information systems. Aspects specific for medical notes recognition are considered. Limited set of authors, relatively small dictionary of typically used words, characteristic phrases used in particular categories of documents can be utilized in order to increase the accuracy of handwritten text recognition. The concept of ...

Segmenting arabic manuscripts into text-lines and words is an important step to make recognition systems more efficient and accurate. The major problem making this task crucial is the word extraction process: first, words are often a succession of sub-words where the space value between these sub-words do not respect any rules. Second, the presence of connections even between non adjacent sub-w...

Word segmentation is the most critical pre-processing step for any handwritten document recognition/retrieval system. This paper describes an approach to separate a line of unconstrained (written in a natural manner) handwritten text into words. When the writing style is unconstrained, recognition of individual components may be unreliable so they must be grouped together into word hypotheses, ...

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ÐContour representations of binary images of handwritten words afford considerable reduction in storage requirements while providing lossless representation. On the other hand, the one-dimensional nature of contours presents interesting challenges for processing images for handwritten word recognition. Our experiments indicate that significant gains are to be realized in both speed and recognit...

Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. Handwriting recognition has been one of the most interesting and challenging research areas in the field of image processing and pattern recognition in...

An algorithm for the recognition of unconstrained handwritten words is proposed. Based on an analysis of writing styles, it is shown that techniques for isolated character recogiritioIi,Segmeni:attOri, as well · ai cursive script recogmtion are needed to achieve a robust solution to handwritten word recognition. A combination of these algorithms is proposed in which the decisions of each method...