期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：73
期号：3
出版社：Journal of Theoretical and Applied
摘要：The presence of a large number of broken characters in a digital document image represents the main problem in Optical Character Recognition (OCR) of historical documents. This problem still continues a challenge for recent OCR solutions. Broken character restoration from historical documents it is substantial because these documents contain important facts and leaving them leads to losing invaluable information. Gradient Vector Flow (GVF) snake has much more capture range than traditional snake therefore widely used in image segmentation. In this paper we used balloon with triangle steps to improve GVF snake to converge of deep concavity area and Restore broken characters using the improved GVF.
关键词：GVF; Snake Algorithm; Divergence; Deep Concavity; Balloon Force
