中圖分類號： TP183 文獻(xiàn)標(biāo)識碼： A DOI：10.16157/j.issn.0258-7998.223130 中文引用格式： 張祥，秦毅,，董志誠,，等. 基于漫水填充算法的中文印章識別方法[J].電子技術(shù)應(yīng)用，2022,，48(11)：2-6,，12. 英文引用格式： Zhang Xiang，Qin Yi,，Dong Zhicheng,，et al. Chinese seal recognition method based on flood filling algorithm[J]. Application of Electronic Technique，2022,，48(11)：2-6,，12.
Chinese seal recognition method based on flood filling algorithm
1.School of Intelligent Technology and Engineering,，Chongqing University of Science and Technology,，Chongqing 401331，China,； 2.School of Information Science and Technology,，Tibet University，Lhasa 850000,，China
Abstract： Seal recognition is an indispensable part of the intelligent office. The current stage of seal recognition method is to directly input the scanned electronic documents into the neural network model for identification, facing the problems of unable to accurately locate the position of the seal, low accuracy of bending text recognition. Aiming at the above problems, this paper proposes an efficient stamp text recognition method, which uses the diffuse water filling algorithm to process the grayscale image for seal image feature enhancement, which ensures the accuracy of Chinese seal detection, and introduces the polar coordinate conversion operation to ensure the integrity of text features. In order to evaluate the effectiveness of the proposed method, multiple sets of comparative experiments were carried out in the existing and other network models. Experimental results show that the existing network model fused the text features extracted by the method shows excellent recognition results.
Key words : flooded fill,；feature enhancements；seal image excision,；seal text recognition
