Identifying Text in Images Using OCR Testing

M. Jeslin Benita Ponnarasi, Pg Student M. Tech, Mgr · 2013

There are many applications in which the automatic detection and recognition of text embedded in images is useful.These applications include multimedia systems, digital libraries and Geographical information systems. When machine generated text is printed against clean backgrounds.it can be converted to a computer readable form(ASCII) using current Optical Character Recognition (OCR) technology. However, text is often printed against shaded or textured backgrounds or is embedded in images. A system that automatically extracts and detect text in images is proposed.This system consist of four phases.First, by treating the text as distinctive texture, a texture segmentation sheme is used to focus

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