Fast Text Line Segmentation Model Based on DCT for color Image 


Vol. 17,  No. 6, pp. 463-470, Dec.  2010
10.3745/KIPSTD.2010.17.6.463


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  Abstract

We presented a very fast and robust method of text line segmentation based on the DCT blocks of color image without decompression and binary transformation processes. Using DC and another three primary AC coefficients from block DCT we created a gray-scale image having reduced size by 8x8. In order to detect and locate white strips between text lines we analyzed horizontal and vertical projection profiles of the image and we applied a direct markov model to recover the missing white strips b estimating hidden periodicity. We presented performance results. The results showed that our method was 40-100 times faster than traditional method.

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[IEEE Style]

H. K. Shin, "Fast Text Line Segmentation Model Based on DCT for color Image," The KIPS Transactions:PartD, vol. 17, no. 6, pp. 463-470, 2010. DOI: 10.3745/KIPSTD.2010.17.6.463.

[ACM Style]

Hyun Kyung Shin. 2010. Fast Text Line Segmentation Model Based on DCT for color Image. The KIPS Transactions:PartD, 17, 6, (2010), 463-470. DOI: 10.3745/KIPSTD.2010.17.6.463.

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