Abstract
This paper proposes a character region extraction method and picture separation used for passports by adopting a preprocessing phase for passport recognition system. Character regions required in recognition make black pixel and remainder of the passport regions make white pixel in the detected character spaces. This method uses MRZ sub-region in order to automatically decide the threshold value of the binary image and this value is applied to the other character regions. Tthis method also executes horizontal and vertical histogram projection in order to remove picture region of the binary image. After the region detection of the picture area, the image part of the passport is stored in the database for face images. The remainder of the passport is composed of characters. The extraction of the picture area shows 100% of extraction ratio and the extraction of the characters for the recognition shows 96% of extraction ratio on ten different passports. From the obtained information, crosscheck process of MRZ information and field information of passport is implemented.
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ICAO, Document 9303
Ryu, J.-U., Kim, T.-K., Kim, K.-B.: The Passport Recognition by Using Enhanced RBF Neural Network. In: Proceedings of the Korea Intelligent Information System Society Conference, vol. 11, pp. 529–534 (2002)
Namkung, J.C., Ryou, H.B., Namkung, Y.: A Study on the Korean Character Segmentation and Picture Extraction from a Document. Journal of the Korean Institute of Telematics and Electronics 25(9), 1091–1101 (1988)
Lee, I.D., Kwon, O.S., Kim, T.K.: A Method to Extract Characters and Non-characters Separate from Document Image. Journal of the Korea Information Science Society 17(3), 247–258 (1990)
Wahl, F.M., Wong, K.Y., Casey, R.G.: Block Segmentation and Text Extraction in Mixed Text/Image Document. Computer Vision Graphics and Image Processing 22, 375–390 (1982)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1992)
Wang, D., Srihari, S.N.: Classification of Newspaper Image Blocks Using Texture Analysis. Computer Vision Graphics and Image Processing 47, 327–352 (1989)
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© 2006 Springer-Verlag Berlin Heidelberg
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Kim, T.J., Kwon, Y.B. (2006). Crosscheck of Passport Information for Personal Identification. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_15
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DOI: https://doi.org/10.1007/11767978_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34711-8
Online ISBN: 978-3-540-34712-5
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