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In this paper, an efficient approach to segment Persian off-line handwritten text-line into characters is presented. The proposed algorithm first traces the baseline of the input text-line image and straightens it. Subsequently, it over-segments each word/subwords using features extracted from histogram analysis and then removes extra segmentation points using some baseline dependent as well as language...
In this paper, the study of script identification based on morphological reconstruction for printed document images is carried out. The system is developed by using 609-scanned document images representing English, Hindi, Kannada, and Urdu scripts. The system developed includes a feature extractor and a classifier. The feature extractor consists of two stages. In the first stage, the morphological...
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