Design of embedded seal imprint identification system based on SIFT-SVM

Sheng-yin ZHU; Hong-dong ZHAO; Jing WANG; Zhi-ming YANG

doi:10.3788/YJYXS20173211.0914

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Design of embedded seal imprint identification system based on SIFT-SVM

Display Technology | 更新时间：2020-08-12

- Design of embedded seal imprint identification system based on SIFT-SVM
- Chinese Journal of Liquid Crystals and Displays Vol. 32, Issue 11, Pages: 914-922(2017)
- 作者机构：
  
  1.河北工业大学电子信息工程学院, 天津 300401
  2.中国电子科技集团公司第五十三研究所, 天津 300308
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20173211.0914
  CLC： TP394.1
- Received：01 June 2017，
  
  Accepted：14 August 2017，
  
  Published：05 November 2017
- 稿件说明：
移动端阅览
Sheng-yin ZHU, Hong-dong ZHAO, Jing WANG, et al. Design of embedded seal imprint identification system based on SIFT-SVM[J]. Chinese journal of liquid crystals and displays, 2017, 32(11): 914-922.
DOI：

Sheng-yin ZHU, Hong-dong ZHAO, Jing WANG, et al. Design of embedded seal imprint identification system based on SIFT-SVM[J]. Chinese journal of liquid crystals and displays, 2017, 32(11): 914-922. DOI： 10.3788/YJYXS20173211.0914.

摘要

为了克服PC印鉴识别系统体积大、成本高并且识别精度低、适应性差的缺点，设计了基于SIFT-SVM的嵌入式印鉴识别系统。系统计算印鉴图像的SIFT特征并进一步构造基于SIFT匹配的印鉴特征向量，将构造的印鉴特征向量输入支持向量机进行训练，并采用遗传算法优化SVM的惩罚因子和核参数，使识别性能最优。系统以ARM11处理器作为印鉴特征提取和识别的核心单元，采用ZC301摄像头进行图像采集，并以蜂鸣器、LED、LCD作为报警显示设备。实验表明，该系统对印鉴在模糊、旋转等多种情形下取得了93.5%的良好识别率，且当笔划加粗仅5%时仍具有很好的适用性。系统具有识别精度好、适用性强，体积小、设计灵活的优点。

Abstract

In order to overcome the shortcomings of large volume

high cost

low recognition accuracy and poor adaptability in PC seal identification system

an embedded seal imprint identification system based on SIFT-SVM was designed. The system first computed the SIFT characteristics of the seal image and further constructed feature vector based on SIFT matching. The seal feature vector was used to train support vector machine. The SVM's penalty factor and kernel parameter were optimized by genetic algorithm to get the best recognition performance. The system used the ARM11 processor as the core unit of the feature extraction and recognition and used the ZC301 camera to acquire image. The buzzer

LED and LCD were used as alarm display devices. The experimental results show that the system achieves a good recognition rate of 93.5% in the cases of seal blur

rotation and so on. It still has good applicability when seal's stroke is only in 5% thickening. The system has the advantages of good recognition accuracy

strong applicability

small volume and flexible design.

关键词

Keywords

references

LEE S, KIM J H. Unconstrained seal imprint verification using attributed stroke graph matching[J]. Pattern Recognition, 1989, 22(6):653-664.

GUO T D, XU C X, GAO Z Y. A new approach to automatic seal imprint identification[J]. Acta Automatica Sinica, 2004, 30(1):8-19.

陈志云, 李志敏, 赵永涛, 等.基于Hough变换的印鉴差值匹配识别[J].重庆大学学报:自然科学版, 2006, 29(2):32-34.

CHEN Z Y, LI Z M, ZHAO Y T, et al. Seal imprint verification with Hough transform[J]. Journal of Chongqing University:Natural Science Edition, 2006, 29(2):32-34. (in Chinese)

何瑾, 刘铁根, 周怡洁, 等.基于边缘差异的印鉴自动鉴别[J].仪器仪表学报, 2010, 31(1):85-91.

HE J, LIU T G, ZHOU Y J, et al. Automatic seal identification using edge difference[J]. Chinese Journal of Scientific Instrument, 2010, 31(1):85-91. (in Chinese)

刘铁根, 何瑾, 邓集杰, 等.基于嵌入式系统结构的印鉴鉴别系统[J].光学学报, 2009, 29(11):3043-3049.

LIU T G, HE J, DENG J J, et al. A seal imprint identifiction system based on embedded system structure[J]. Acta Optica Sinica, 2009, 29(11):3043-3049. (in Chinese)

程鹏, 王瑞光, 郑喜凤, 等.嵌入式公路可变情报板通讯系统设计[J].液晶与显示, 2013, 28(2):244-249.

CHENG P, WANG R G, ZHENG X F, et al. Design of embedded highway VMS communication system[J]. Chinese Journal of Liquid Crystals and Displays, 2013, 28(2):244-249. (in Chinese)

郑永斌, 黄新生, 丰松江. SIFT和旋转不变LBP相结合的图像匹配算法[J].计算机辅助设计与图形学学报, 2010, 22(2):286-292.

ZHENG Y B, HUANG X S, FENG S J. An image matching algorithm based on combination of SIFT and the rotation invariant LBP[J]. Journal of Computer-Aided Design & Computer Graphics, 2010, 22(2):286-292. (in Chinese)

ZHAO Y, ZHAI Y W, DUBOIS E, et al. Image matching algorithm based on SIFT using color and exposure information[J]. Journal of Systems Engineering and Electronics, 2016, 27(3):691-699.

胡建颖, 赵荻, 周玲, 等.基于几何统计差异性的伪造印鉴识别方法[J].计算机工程与设计, 2014, 35(9):3029-3033.

HU J Y, ZHAO D, ZHOU L, et al. Forged seal identification method based on statistical geometric difference[J]. Computer Engineering and Design, 2014, 35(9):3029-3033. (in Chinese)

LIU Y F, PI D C, CHENG Q Y. Ensemble kernel method:SVM classification based on game theory[J]. Journal of Systems Engineering and Electronics, 2016, 27(1):251-259.

林伟青, 傅建中, 许亚洲, 等.基于LS-SVM与遗传算法的数控机床热误差辨识温度传感器优化策略[J].光学精密工程, 2008, 16(9):1682-1687.

LIN W Q, FU J Z, XU Y Z, et al. Optimal sensor placement for thermal error identification of NC machine tool based on LS-SVM and genetic algorithm[J]. Optics and Precision Engineering, 2008, 16(9):1682-1687. (in Chinese)

ZHOU W, LI S L, MA G, et al. Parameters inversion of high central core rockfill dams based on a novel genetic algorithm[J]. Science China Technological Sciences, 2016, 59(5):783-794.

孙立宁, 钟鸣, 李满天.基于嵌入式视觉的移动式自重构微小型机器人[J].光学精密工程, 2009, 17(12):3001-3008.

SUN L N, ZHONG M, LI M T. Mobile miniature self-reconfigurable robot based on embedded vision[J]. Optics and Precision Engineering, 2009, 17(12):3001-3008. (in Chinese)

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