Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Intelligent Immigration Control System by Using Passport Recognition and Face Verification

  • Published : 2006.04.01
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Abstract

This paper proposes the intelligent immigration control system that authorizes the traveler through immigration and detects forged passports by using automatic recognition of passport codes, the passport photo and face verification. The proposed system extracts and deskewes the areas of passport codes from the passport image. This paper proposes the novel ART algorithm creating the adaptive clusters to the variations of input patterns and it is applied to the extracted code areas for the code recognition. After compensating heuristically the recognition result, the detection of forged passports is achieved by using the picture and face verification between the passport photo extracted from the passport image and the picture retrieved from the database based on the recognized codes. Due to the proposed ART algorithm and the heuristic refinement, the proposed system relatively shows better performance.

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References

  1. K. B. Kim, Y. J. Kim, A. S. Oh, 'An Intelligent System for Passport Recognition Using Enhanced RBF Network,' Lecture Notes in Computer Science, LNCS 3314, Springer, pp.762-767, 2004 https://doi.org/10.1007/978-3-540-30497-5_118
  2. K. B. Kim, 'Passport Recognition using Fuzzy Binarization and Enhanced Fuzzy RBF Network,' Journal of Fuzzy Logic and Intelligent Systems, vol.14, no.2, pp.22-227, 2004
  3. K. B. Kim, J. H. Cho, C. K. Kim, 'Recognition of Passports Using FCM-Based RBF Network,' Lecture Notes in Artificial Intelligence, LNAI 3809, Springer, pp.1241-1245, 2005
  4. D, H. Kim, D. K. Kang, E. Y. Cha, 'Adaptive Image Labeling Algorithm using Non-recursive Flood-Fill Algorithm,' The KIPS Transactions, vol.9-B, no.3, pp.337-342, 2002
  5. Milan Sonica, Vaclay Hlavac and Roger Boyle, Image Processing, Analysis, and Machine Vision, 2nd Edition, PWS Publishing, pp.129-130
  6. S. Romdhani, 'Face Recognition using Principal Component Analysis', The MS Thesis, University of Glasgow(UK), pp.1-56, April, 1997
  7. Alberto Del Bimbo, Visual Information Retrieval, MORGAN KAUFMANN, 1999
  8. Gonzalez, Digital Image Processing, 2nd Edition, Prentice Hall, 2002
  9. K.N.Plataniotis and A.N.Venetsanopoulos, Color Image Processing and Application, Springer, 2000
  10. Dario Maio and Davide Maltoni, 'Real-time face location on gray-scale static images,' Pattern Recognition, vol.33, Issue 9, pp.1525-1539, September 2000 https://doi.org/10.1016/S0031-3203(99)00130-2
  11. Ying Li, Xiang-lin Qi and Yun-jiu Wang, 'Eye detection by using fuzzy template matching and feature-parameterbased judgment,' Pattern Recognition Letters, vol. 22, Issue 10, pp.1111-1124, August 2001 https://doi.org/10.1016/S0167-8655(01)00065-4