International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 4 | Year 2013 | Article Id. IJCTT-V4I4P127 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I4P127

Identifying Text in Images Using OCR Testing

M.Jeslin Benita Ponnarasi

Citation :

M.Jeslin Benita Ponnarasi, "Identifying Text in Images Using OCR Testing," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 4, pp. 573-578, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I4P127

Abstract

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 attention on regions where it may occur. Second, strokes are extracted from the segmented text regions. Using reasonable heuristics on text strings, such as height similarity ,spacing and alignment ,the extracted strokes are then processed to form tight rectangular bounding boxes around the corresponding text strings.

Keywords

IPv6, Migration, DOS.

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