Abstract
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.