期刊文献+

基于梯度分割和特征匹配的印章识别算法研究 被引量:1

Study of identifying seal based on grads segmentation and feature matching
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摘要 印章识别的多目标同时识别特点要求目标识别过程要保证精度不能遗漏目标。而印章作为目标其纹理固定的特点则可以作为不同印章相互区别的依据。同时,考虑到序列图像识别的实时性需求,提出了一种基于梯度分割和特征匹配的二级判别印章识别算法。首先通过图像直方图均衡化拉伸印章灰度与背景灰度差值,再利用灰度梯度边缘骤变原理粗捡出印章边缘,最后通过模板匹配精检出印章边缘,完成识别。实验结果表明,该方法鲁棒性好,速度快,准确高,在允许范围内满足实用要求。 The characteristic of identifying seal simultaneously request it must guarantees the precision and also can not omission goal in the process of target identification. And the seal which as the target has the target of the fixed texture, which can distinguishes the dif- ferent seal. At the same time, considers the sequence pattern recognition request timeliness, proposed one kind of a secondary identify method based on shape and veins characteristic to distinguish. Histogram equilibration is first, which will put the difference of the ash degree of an official seal and picture background space out, an edge to withdraw is second, the principle is great variety of grads occur in the edge, this way can affirm the official seat edge approximately. Adopt template to match in order to affirm the official seal is last. In the experiment, this method has the good robustness, high speed, examining accurate and high etc. Request practicality is fulfiled in the allow range.
出处 《计算机工程与设计》 CSCD 北大核心 2008年第20期5400-5402,共3页 Computer Engineering and Design
关键词 印章 纹理 梯度 模板匹配 直方图均衡化 print texture grads template matching histogram equilibration
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参考文献7

  • 1张香琴,方如明,蔡健荣,许俐.基于去噪的熵算子边界检测法[J].江苏理工大学学报(自然科学版),2000,21(2):57-60. 被引量:3
  • 2杜峥,张桂林,洪靖云.视频监控系统中的一种运动检测算法[J].机械与电子,2003,21(6):45-47. 被引量:14
  • 3Zhang Yu-jin.Image engineering (II) image analysis[M].2nd Ed. Beijing:Tsinghua University Press,2005:168-170.
  • 4Loutast E, Diamantarast K, Pitast I. Occlusion resistant object tracking[C]. Thessaloniki,Greece:IEEE International Conference on Image Processing,2001:65-68.
  • 5Liu Wen-yao. Opto-electronic image processing [M]. Beijing: Publishing House of Electronics Industry,2002:106-111.
  • 6Koenderink J.The structure of image[J].Biological Cybernetics, 2003,50(5):363-370.
  • 7Gonzalez Rafael C,Woods Richard E.Digital image processing [M].2nd Ed.Beijing:Publishing Housing of Electronics Industry, 2003:581-585.

二级参考文献5

  • 1谢筱华,汪蕙.一个新的边界检测熵算子[J].信号处理,1995,11(3):218-220. 被引量:2
  • 2[1]Freer J A,Beggs B J,Fernamdez-Canque H L,Chevrier F,Goryashko A.Automatic intruder detection incorporating intelligent scene monitoring with video surveillance[J].European Conference on Security and Detection,1997,(4):109-113.
  • 3[2]Takeyuki Takano,Katsumi Ushita.Intruder detection system by image processing[J].IEEE Annual International Carnahan Conference on Security Technology, Proceedings,1994,(10):12-14.
  • 4[3]Jeff Smith,Brett Peters.Prototype software model for designing intruder detection systems with simulation[J].Proceedings of SPIE - The International Society for Optical Engineering,1998,3369(4):101-108.
  • 5[4]Huang P S, Harris C J, Nixon M S.Recognizing humans by gait via parametric canonical space[J].Artificial Intelligence in Engineering, 1999, 13: 359-366.

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