{"citation":{"short":"C. Lampert, L. Mei, T. Breuel, in:, IEEE, 2006, pp. 639–634.","apa":"Lampert, C., Mei, L., &#38; Breuel, T. (2006). Printing technique classification for document counterfeit detection (Vol. 1, pp. 639–634). Presented at the CIS: Computational Intelligence and Security, IEEE. <a href=\"https://doi.org/10.1109/ICCIAS.2006.294214\">https://doi.org/10.1109/ICCIAS.2006.294214</a>","chicago":"Lampert, Christoph, Lin Mei, and Thomas Breuel. “Printing Technique Classification for Document Counterfeit Detection,” 1:639–634. IEEE, 2006. <a href=\"https://doi.org/10.1109/ICCIAS.2006.294214\">https://doi.org/10.1109/ICCIAS.2006.294214</a>.","ista":"Lampert C, Mei L, Breuel T. 2006. Printing technique classification for document counterfeit detection. CIS: Computational Intelligence and Security vol. 1, 639–634.","ama":"Lampert C, Mei L, Breuel T. Printing technique classification for document counterfeit detection. In: Vol 1. IEEE; 2006:639-634. doi:<a href=\"https://doi.org/10.1109/ICCIAS.2006.294214\">10.1109/ICCIAS.2006.294214</a>","ieee":"C. Lampert, L. Mei, and T. Breuel, “Printing technique classification for document counterfeit detection,” presented at the CIS: Computational Intelligence and Security, 2006, vol. 1, pp. 639–634.","mla":"Lampert, Christoph, et al. <i>Printing Technique Classification for Document Counterfeit Detection</i>. Vol. 1, IEEE, 2006, pp. 639–634, doi:<a href=\"https://doi.org/10.1109/ICCIAS.2006.294214\">10.1109/ICCIAS.2006.294214</a>."},"publication_status":"published","conference":{"name":"CIS: Computational Intelligence and Security"},"date_published":"2006-11-03T00:00:00Z","extern":1,"_id":"3680","main_file_link":[{"open_access":"0","url":"http://pub.ist.ac.at/~chl/papers/lampert-cis2006.pdf"}],"abstract":[{"text":"The detection of counterfeit in printed documents is currently based mainly on built-in security features or on human expertise. We propose a classification system that supports non-expert users to distinguish original documents from PC-made forgeries by analyzing the printing technique used. Each letter in a document is classified using a support vector machine that has been trained to distinguish laser from inkjet printouts. A color-coded visualization helps the user to interpret the per-letter classification results","lang":"eng"}],"type":"conference","author":[{"first_name":"Christoph","last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Christoph Lampert","orcid":"0000-0001-8622-7887"},{"first_name":"Lin","last_name":"Mei","full_name":"Mei,Lin"},{"full_name":"Breuel,Thomas M","last_name":"Breuel","first_name":"Thomas"}],"day":"03","doi":"10.1109/ICCIAS.2006.294214","page":"639 - 634","month":"11","date_updated":"2021-01-12T07:45:06Z","quality_controlled":0,"title":"Printing technique classification for document counterfeit detection","status":"public","intvolume":"         1","publist_id":"2698","date_created":"2018-12-11T12:04:35Z","volume":1,"year":"2006","publisher":"IEEE"}