Skeletonization Algorithm for Binary Images

被引：56

作者：

Abu-Ain, Waleed ^{[1
]}

Abdullah, Siti Norul Huda Sheikh ^{[1
]}

Bataineh, Bilal ^{[1
]}

Abu-Ain, Tarik ^{[1
]}

Omar, Khairuddin ^{[1
]}

机构：

[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Pattern Recognit Res Grp, Bangi 43600, Selangor, Malaysia

来源：

4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS (ICEEI 2013) | 2013年 / 11卷

关键词：

Skeletonization; Thinning; Document image analysis; Text images; OCR; THINNING ALGORITHM; RECOGNITION; PATTERNS;

D O I：

10.1016/j.protcy.2013.12.248

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Skeletonization and also known as thinning process is an important step in pre-processing phase. Skeletonization is a crucial process for many applications such as OCR, writer identification ect. However, the improvements in this area still remain due to researches recently. A new skeletonization algorithm is proposed in this paper. The algorithm is combining between parallel and sequential which categorized under iterative approach. The proposed method conducted into experiments of benchmark dataset for evaluation. The result is obtaining much better results comparing with other thinning methods is included in comparison part. (C) 2013 Authors. Published by Elsevier Ltd.

引用

页码：704 / 709

页数：6

共 26 条

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