Extracting Text from Image Document and Displaying Its Related Information
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 5
Abstract
Image Text is the text information embedded or written in image of different form. Image text can be found in captured images, scanned documents, magazines, newspapers, posters etc. These image texts are highly available nowadays and they are very important in representing, describing and transferring information which help peoples in communication, solving problems, availability, creation of new types of jobs, cost effectiveness, productivity, globalization and cultural gap etc. The information from these image documents would give higher efficiency and ease of access if it is converted to text form. The process by which Image Text converted into plain text is Text Extraction. Text Extraction is useful in information retrieving, searching, editing, documenting, archiving or reporting of image text. However, variation of these texts due to differences in size, orientation style, and alignment, text is embedded in complex colored document images, degraded documents image, low quality image, as well as low image contrast and complex background make problem text extraction extremely difficult and challenging one. Different techniques such as Connected Component Method, Mathematical Morphology Method, Edged Based Method and Texture Based Method have been used previously, but those all have their own limitations when measured by different parameters like precision, recall and fscore. In this paper, text extraction from image documents, using combination of the two powerful methods Connected Component and Edge Based Method, in order to enhance performance and accuracy of text extraction is discussed and implementation is done by integrated MATLAB code with MATLAB/Simulink tool and the proposed system is tested by Digital Image Binarization Competition (DIBCO) 2017 dataset. Finally, the extracted and recognized is converted to speech for proper use for visually impaired people.
Authors and Affiliations
K. N. Natei, J. Viradiya, S. Sasi kumar
Keywords
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