Binarization of color document images via luminance and saturationcolor features

University of Taipei > 理學院 > 資訊科學系 > 期刊論文 > Item 987654321/2705

請使用永久網址來引用或連結此文件: http://utaipeir.lib.utaipei.edu.tw/dspace/handle/987654321/2705

題名:	Binarization of color document images via luminance and saturationcolor features
作者:	Chun-Ming Tsai Hsi-Jian Lee 蔡俊明
貢獻者:	臺北市立教育大學資訊科學系
日期:	2002
上傳時間:	2009-08-04 11:49:51 (UTC+8)
摘要:	This paper presents a novel binarization algorithm for color document images. Conventional thresholding methods do not produce satisfactory binarization results for documents with close or mixed foreground colors and background colors. Initially, statistical image features are extracted from the luminance distribution. Then, a decision-tree based binarization method is proposed, which selects various color features to binarize color document images. First, if the document image colors are concentrated within a limited range, saturation is employed. Second, if the image foreground colors are significant, luminance is adopted. Third, if the image background colors are concentrated within a limited range, luminance is also applied. Fourth, if the total number of pixels with low luminance (less than 60) is limited, saturation is applied; else both luminance and saturation are employed. Our experiments include 519 color images, most of which are uniform invoice and name-card document images. The proposed binarization method generates better results than other available methods in shape and connected-component measurements. Also, the binarization method obtains higher recognition accuracy in a commercial OCR system than other comparable methods
關聯:	IEEE Transactions on Image Processing, v11(4), p.434-451
顯示於類別:	[資訊科學系] 期刊論文

文件中的檔案:

沒有與此文件相關的檔案.

在uTaipei中所有的資料項目都受到原著作權保護.

資料載入中.....