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Automatic Arabic handwritten text recognition is still an open research field, methods that describe satisfactory solution are still lacking. This can be attributed to cursive orthography and to the letter shape context sensitivity, which complex the problem of the character segmentation. This paper presents a heuristic rule based analytical segmentation approach for handwritten Arabic text, which...
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate location of the text baseline and font size; no binarization or prior word segmentation is necessary. Our system is aided by a lexicon, yet it also allows non-lexicon words. To facilitate inference with a large lexicon, we...
The rapid process of automation in recent times involves the development of efficient algorithms in machine intelligence. Man-machine interface in most areas of application involves vision systems to recognize texts and objects. In either case this finally reduces to the machine analysis of images ultimately leading to classification of images either as a whole or in segmented form. Images are represented...
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