Automatic Extract Handwriting Marked Regions in Business Document Images
Nam Nguyen, Quoc Thang Nguyen, Ha Vu Duy Nguyen, Thanh-Duc Chau, Tuan Anh Tran · 2018
One of the difficulties in the automation of market trading, data crawling in commercial activities, such as banking operation is the identification of handwriting marked regions. This is the first and important step in mixed-document image understanding. In this paper, we propose a method to extract the handwriting marked regions in business forms. Our method is a combination of printed form analysis and colored handwritten symbols detection. This program is primarily designed to support commercial activities and assist users in document layout analysis. Evaluated on the real commercial dataset, the method achieved high performance.