Abstract
This paper proposed the intelligent immigration control system that authorizes the traveler immigration and detects the forged passports by using automatic recognition of passport codes and the picture and face verification. The proposed system extracts and deskewes the areas of passport codes from the passport image. This paper proposed a novel ART algorithm creating the adaptive clusters to the variations of input patterns and it was applied to the extracted code areas for the code recognition. After compensating heuristically the recognition result, the detection of forged passport is achieved by using the picture and face verification between the picture extracted from 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 shows the relatively better performance.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kim, K. (2005). Intelligent Immigration Control System by Using Passport Recognition and Face Verification. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_24
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DOI: https://doi.org/10.1007/11427445_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
Online ISBN: 978-3-540-32067-8
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