基于漫水填充算法的中文印章识别方法

Chinese seal recognition method based on flood filling algorithm

印章识别是智能化办公中必不可少的一环,现阶段的印章识别方法是将扫描后的电子文档直接输入神经网络模型中进行识别,面临着无法准确定位印章位置、弯曲文本识别准确率低等问题。针对上述问题,提出了一种高效的中文印章文本识别方法,该方法使用漫水填充算法处理灰度图像进行印章图像特征增强,保证了中文印章检测精度,同时引入了极坐标转换操作以确保文本特征完整性。为了评估本文方法的有效性,在现有的文本识别网络模型进行了多组对比实验。经实验表明,已有的网络模型融合该方法所提取的文本特征均表现出优异的识别结果。

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.