Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Document image analysis: a bibliography
Machine Vision and Applications - Special issue: document image analysis techniques
Survey and bibliography of Arabic optical text recognition
Signal Processing
An Omnifont Open-Vocabulary OCR System for English and Arabic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
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Given font/type-written text rectangle bitmaps extracted from digitally scanned pages, inferring the boundaries of lines hence complete words is a preprocessing vital to whatever OCR system while the recognition process itself as well as the post processing necessary for producing the recognized text. Histogram-based methods are commonly used due mainly to their relative implementation simplicity and computational efficiency, however, some authors report about their vulnerability to some idiosyncratic textual structure complexities, and noise. This paper elaborates on this approach to produce a more robust algorithm for lines/words decomposition esp. in Arabic, or Arabic dominated, text rectangles from real-life multifont/multisize documents. Trying to evaluate this algorithm, this paper also presents the results of extensive experimentation made on about 1800 documents fairly distributed over different kinds of sources with different noise levels at different scanning resolutions and color depths.