International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 47 - Number 5 |
Year of Publication: 2012 |
Authors: Smita V. Khangar, Latesh G. Malik |
10.5120/7183-9888 |
Smita V. Khangar, Latesh G. Malik . Handwritten Text Image Compression for Indic Script Document. International Journal of Computer Applications. 47, 5 ( June 2012), 11-16. DOI=10.5120/7183-9888
In this paper, compression scheme is presented for Indian Language handwritten text document images. Document image compression is an active area of research. Current OCR technology is not effective for handling the handwritten text images. The proposed compression scheme deals with the handwritten gray level document in Devnagri script. The method is based on the separation of foreground and background of an image and connected component labeling. Experiments are done with handwritten images in Devnagri (Hindi and Marathi). Compression schemes are available for the printed text in Indian language. But there is little work reported towards the compression standards for handwritten text image. The results of the modules are showing good compression ratio. Hence compression of handwritten text images in Indian language is important.