一种基于笔划宽度的印鉴分割方法  

A Method for Seal Image Segmentation Based on Stroke Width

作　　者：廖闻剑[1] 成瑜[1] 

机构地区：[1]南京航空航天大学信息科学与技术学院,南京210016

出　　处：《数据采集与处理》2002年第3期288-292,共5页Journal of Data Acquisition and Processing

摘　　要：印鉴分割是正确识别真假印鉴的关键问题 ,本文给出了一种新的印鉴图像分割算法。该算法基于样本章(印鉴 )和待验章 (印鉴 )在具有相同的笔划宽度时 ,分割效果最佳 ,最利于真假印鉴的识别。选定一定范围的灰度值作为可能的阈值 ,从中选出使待验章和样本章的笔划宽度相差最小时的阈值作为最佳阈值。对位于待验章和样本章的交集中的边缘点分别在待验章和样本章中求水平和垂直方向上的笔划宽度 ,并且仅取宽度差最小的一个方向上的宽度差 ,很好地避免了印泥的浓淡、盖印时用力的深浅、印泥污染、笔划断裂和分裂带来的干扰。实验和实践证明 ,该方法分割效果好 ,并具有很好的稳定性 ,在识别真假印鉴的实践中得到了很好的应用。Seal image segmentation is a key problem in anti-forged seal recognition. This paper proposes a new method. Based on the fact anti-forged seal recognition, the method can get the best performance when the testing seal image and model seal image have the same stroke width. It selects a threshold from a certain range to regard as one threshold which is the best threshold just as it makes the difference of stroke width in testing and model seal image minimum. Using edge points in intersection set of testing and model seal imaged to calculate stroke width in horizontal and vertical directions, and choosing the minimum difference of stroke width in one direction as the difference of stroke width for one point, the new method can avoid disturbances caused by deep or shallow ink, strong or weak press seal, broken or polarized strok, stroke pollution of ink. Experiments prove that the method can get good performance and is very stable.

关 键 词：笔划宽度 印鉴分割方法 图像分割 笔划 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]