Extraction and Recognition of Text From Digital English Comic Image Using Median

Text extraction from image is one of the complicated areas in digital image processing. Text characters entrenched in image represents a rich source of information for text retrieval application. It is a complex process to detect and recognize the text from comic image due to their various size, gray scale values, complex backgrounds and different styles of font. Text extraction process from comic image helps to preserve the text and formatting during conversion process and provide high quality of text from the printed document. Automatic text extraction from comic images receives a growing attention because of prospective application in image retrieval. In existing work, Japanese text is extracted vertically from Manga Comic Image using Blob extraction functions. At the same time, text is extracted from multiple constraints using optical character recognition (OCR) and make translation of Japanese language of Manga into some other languages in conventional way to share the enjoyment of reading Manga through the Internet. This paper talks about English text extraction from blob comic image using various methods.

[1]  Chew Lim Tan,et al.  Text extraction from gray scale document images using edge information , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[2]  Siddhartha Brahma,et al.  Text Extraction Using Shape Context Matching , 2006 .

[3]  Chew Lim Tan,et al.  Separation of overlapping text from graphics , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[4]  Kohei Arai,et al.  Method for Real Time Text Extraction of Digital Manga Comic , 2011 .

[5]  Kohei Arai,et al.  Automatic E-Comic Content Adaptation , 2010 .

[6]  M. Sundaresan,et al.  Text extraction from digital English comic image using two blobs extraction method , 2012, International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012).