Seal Extraction Based on Local Thresholding Techniques and Color Analysis

In this paper, we propose a method to extract seal imprints from bank check images. Because seals are often colorized, we can utilize color information to extract them. Firstly, we make use of local thresholding techniques to distinguish seal imprints from background areas. This step not only reduces the complexity of the extraction problem but also gets clear edges. Secondly, we utilize R and G components to get rid of machine-printed characters and noise. Finally, the results of our method are compared with other traditional methods. The experiments prove that our approach is capable of extracting Chinese seal imprints in most cases.