Abstract
In recent years, passport has been paid more and more attention. Passport is not only a certificate of the passport holders, but also involves the international anti-terrorism situation. Passport security thread, as a security feature which is the most direct and easy to identify, is generally used by national passports. However, in the passport manufacturer, the current inspection method of the passport security thread is manual inspection. Computer vision can be applied in this aspect for automatic inspection through some systems or machines. This paper proposes that a custom-built computer vision system can utilize the reflected light to collect images, and detect the buried security thread with the relative high accuracy. After analysis, the detection of the security thread can be considered as a class of the object detection. On account of the gorgeous page’s pattern around the security thread in passport, the most of object detection algorithms are failed to complete this task. Taking both accuracy and detection speed into account, in this work, we develop an improved algorithm based on the traditional SURF operator to achieve security line detection in passport. After verification on a sample set containing 134 samples, this approach has been a certain ability to detect the security thread with the accuracy of 84.33%.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Wang, Q.: Application of digital watermarking technology in passport security. China Anti-Counterfeiting Rep. 6, 22–23 (2003)
Zhi, C.J.: Automatic Detection System of Print Defects Based on Machine Vision. Guangdong University of Technology (2011)
Gomes, J.F.S., Leta, F.R.: Applications of computer vision techniques in the agriculture and food industry: a review. Eur. Food Res. Technol. 235(6), 989–1000 (2012)
Li, Q., Wang, M., Gu, W.: Computer vision based system for apple surface defect detection. Comput. Electron. Agric. 36(2), 215–223 (2002)
Kumar, A.: Computer-vision-based fabric defect detection: a survey. IEEE Trans. Ind. Electron. 55(1), 348–363 (2008)
Messelodi, S., Modena, M., Zanin, M.: A Computer Vision System for the Detection and Classification of Vehicles at Urban Road Intersections. Springer, London (2005)
Reyin, B.U., Dedeo, L.Y., et al.: Computer vision based method for real-time fire and flame detection. Pattern Recogn. Lett. 27(1), 49–58 (2006)
Luo, P.F., Pan, S.P., Chu, T.C.: Application of computer vision and laser interferometer to the inspection of line scale. Opt. Lasers Eng. 42(5), 563–584 (2004)
Pilania, E.: Recognition of fake currency based on security thread feature of currency (2016)
Bhanu, B., Lin, Y.: Object detection in multi-modal images using genetic programming. Appl. Soft Comput. 4(2), 175–201 (2004)
Malagonborja, L., Fuentes, O.: Object detection using image reconstruction with PCA. Image Vis. Comput. 27(1–2), 2–9 (2013)
Rizon, M., Yazid, H., Saad, P., et al.: Object detection using geometric invariant moment. Am. J. Appl. Sci. 3(6), 1876–1878 (2006)
Lopezdelacalleja, M., Nagai, T., Attamimi, M., et al.: Object detection using SURF and superpixels. J. Softw. Eng. Appl. 06(9), 511–518 (2013)
Tang, A.: Characteristics of fluorescence fibers and their application in anti-counterfeiting paper production. Paper Sci. Technol. (2007)
Wang, X.: The color control technique of the offset printing image. Packag. Eng. (2005)
Xin, F.L.: Research on High Quality Laser Punching Technology. Beijing Industrial University (2006)
Chen, W.T., Liu, Y.G., Chao, X.L.: Color excursion and correction of parallel color linear array CCD camera. Semicond. Optoelectron. 27(4), 478–480 (2006)
Zhu, X.Y., Hu, X.L.: Intelligent high-speed linear array color CCD camera, CN 103916643 A (2014)
Jian-Jun, Y.U., Zhi-Yong, W.U.: Application of CameraLink to video control system. OME Inf. 28(5), 42–45 (2011)
Shen, G.: The system of video image collection and transmission based on CameraLink. Microcomput. Inf. (2011)
Bay, H., Ess, A., Tuytelaars, T., et al.: Speeded-up robust features (SURF). Comput. Vis. Image Underst. 110(3), 346–359 (2008)
Acknowledgements
The authors would like to acknowledge the financial support from the National Science Foundation of China under Grant Nos. 61422112, 61371146, and 61221001, and the China Postdoctoral Science Foundation funded project (No. 2016M600315).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, L., Hu, M., Li, D., Che, Z., Zhang, X. (2018). Security Thread Detection in Passport Using Improved Template Matching. In: Zhai, G., Zhou, J., Yang, X. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2017. Communications in Computer and Information Science, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-10-8108-8_8
Download citation
DOI: https://doi.org/10.1007/978-981-10-8108-8_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8107-1
Online ISBN: 978-981-10-8108-8
eBook Packages: Computer ScienceComputer Science (R0)