Color seal segmentation and identification
Place of Publication
Khaled Elleithy, Tarek Sobh, Magued Iskander, Vikram Kapila, Mohammad A. Karim, Ausif Mahmood
School of Computer and Security Science
Automatic seal imprint identification system is highly demanded in oriental countries. Even though several seal identification techniques have been proposed, it is seldom to find the papers on the recovery of lost seal imprint strokes caused by superimposition. Most identification methods are conducted by matching the reference seal imprint and candidate one pixel by pixel. In this paper, a robust color seal segmentation and identification approach is proposed. This approach segments the seal imprint from the input image in terms of the adaptive thresholds. The lost seal imprint strokes are recovered based on the text stroke width that can be detected automatically. In addition, the moment-based seal identification is to compare the reference seal imprint and the recovered one. Experimental results show that the proposed method is able to correctly segment seal imprint and efficiently discriminate the genuine and forgery seal imprint.