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ÇѱÛÁ¦¸ñ(Korean Title) |
¹®¼¿µ»ó ÀÌÁøȸ¦ À§ÇÑ ±¹ºÎ ºñ±³ ¾Ë°í¸®Áò |
¿µ¹®Á¦¸ñ(English Title) |
A Local Comparison Algorithm for Document Image Binarization |
ÀúÀÚ(Author) |
¿ÀÀϼ®
À¯Å¿õ
ÃÖ¼ø¸¸
Il-Seok Oh
Tae-Woong Yoo
Soon-Man Choi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 22 NO. 08 PP. 1203 ~ 1213 (1995. 08) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
The local comparison technique is widely used for document image binarization due to its superiority to other techniques in extracting the strokes from a grayscale document image containing the spatially uneven gray levels. In this paper, we identify one weak point of the technique, being not good in preserving the stroke connectivity. After analyzing the reason for it, we present two new schemes which greatly improve the stroke connectivity. The conventional algorithms and the proposed algorithms were applied to various kinds of images. The output binary images were compared with respect to the stroke connectivity, noise, and computation time. The proposed algorithm shows the great improvement in the stroke connectivity. However, the proposed algorithm produces more noise and consumes more time. Large portion of the spot noises can be easily removed and the recognition algorithms may tolerate the noise to some extent. The proposed algorithm can contribute to the recognition performance of the pattern recognition systems by producing the well-preserved strokes.
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