Automatic Checkpoint System Using Face and Card Information

Authors: Kriddikorn Kaewwongsri, Nikom Suvonvorn

Abstract:

In the deep south of Thailand, checkpoints for people verification are necessary for the security management of risk zones, such as official buildings in the conflict area. In this paper, we propose an automatic checkpoint system that verifies persons using information from ID cards and facial features. The methods for a person’s information abstraction and verification are introduced based on useful information such as ID number and name, extracted from official cards, and facial images from videos. The proposed system shows promising results and has a real impact on the local society.

Keywords: Face comparison, card recognition, OCR, checkpoint system, authentication.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1110956

References:

[1] “Thailand: The Evolving Conflict in the South,” Crisis Group Asia Report N°241, 11 December 2012.
[2] F. Martin and V. Maria, “Automatic reading of Spanish identity cards,” Document Analysis and Recognition, pp. 470-474, 2001, Seattle, 10 - 13 Sep 2001.
[3] F. Martin, “Analysis Tools for Gray Level Histograms,” In Proc. Signal Processing Pattern Recognition and Applications, pp.11-16, 2003.
[4] Lu Y. Qu, Y .Chengand, Y. Xie, “ID Numbers Recognition by Local Similarity Voting,” International Journal of Advanced Computer Science and Applications, pp. 3881 – 3888, 4 Oct. 2010.
[5] Ching-Tang Hsieh, Chia-Shing Hu and Chun-Wei Pan, “A Simple Automatic Facial Aging/Rejuvenating Synthesis Method”, Systems, Man, and Cybernetics, pp.2982-2988, 9-12 Oct. 2011.
[6] F. Juefei-Xu, K. Luu, M. Savvides, T. D. Bui, and Ch. Y. Suen. “Investigating Age Invariant Face Recognition Based on Periocular Biometrics.” Biometrics (IJCB), 2011 International Joint Conference on Biometrics, pp.1 – 7, Washington, 11-13 Oct. 2011.
[7] Gayathri Mahalingam and Chandra Kambhamettu, “Age Invariant Face Recognition Using Graph Matching”, Biometrics: Theory Applications and Systems, pp. 1-7, 27-29 Sep 2010.
[8] P. Viola, M. Jones, “Rapid object detection using a boosted cascade of simple features,” IEEE CVPR01, pp. 511-518, 2001.
[9] Nobuyuki Otsu. “A threshold selection method from gray-level histograms,” Systems, Man, and Cybernetics, pp. 62–66,1979.
[10] M. Uricar, V. Franc and V. Hlavac, "Detector of Facial Landmarks Learned by the Structured Output SVM," In Proc. 7th International