KIT - Vision and Fusion Laboratory

	Dr.-Ing. Martin Grafmüller
	Building: 7.21 Room: 010 Phone: +49 721 608-45908 Fax: +49 721 608-45926 grafmueller ∂does-not-exist.ies uni-karlsruhe de	Karlsruhe Institute of Technology – KIT Vision and Fusion Laboratory (IES) Prof. Dr.- Ing. Jürgen Beyerer c/o Technologiefabrik Haid-und-Neu-Str. 7 76131 Karlsruhe Germany

Martin Grafmüller studierte von 2003 bis 2008 Elektrotechnik und Informationstechnik an der Universität Karlsruhe (TH). Seine Diplomarbeit, mit dem Thema „Klassifikation von gedruckten Einzelbuchstaben mit Hilfe von Support Vector Machines", wurde durch Prof. Kroschel betreut und entstand in Kooperation mit dem Fraunhofer-Institut für Informations- und Datenverarbeitung (IITB). Aktuell beschäftigt er sich mit der wissensbasierten Zeichenerkennung mit Smart Cameras.

Publications
Title	Authors	Source
Performance improvement of character recognition in industrial applications using prior knowledge for more reliable segmentation	Grafmüller, M.; Beyerer, J.	Expert Systems with Applications 40 no. 17, pp. 6955-6963, Elsevier, 2013.
Verfahrensfortschritte in der robusten Echtzeiterkennung von Schriftzeichen	Grafmüller, M.	Dissertation, Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung; 5, KIT Scientific Publishing, 2013.
Multi-Label Graph Cuts including Prior Knowledge for Character Segmentation	Grafmüller, M.	Technical report IES-2012-09. In: Beyerer, J.; Pak, A. (eds.), Proceedings of the 2012 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, pp. 123-137, KIT Scientific Publishing, 2012.
Robust High Performance Character Segmentation Based on Projections and Graph Cuts	Grafmüller, M.; Beyerer, J.	Rao, K. R. (ed.), Proceedings of the 13th IASTED International Conference on Signal and Image Processing, 2011.
Adaptive Segmentierung von gedruckten Punkt-Matrix-Zeichen aus Grauwertbildern	Grafmüller, M.; Beyerer, J.	Puente León, F.; Heizmann, M. (eds.), Forum Bildverarbeitung, pp. 253-264, KIT Scientific Publishing, 2010.
A First Approach to Typewritten Character Segmentation using Graph Cuts	Grafmüller, M.	Technical report IES-2010-11. In: Beyerer, J.; Huber, M. (eds.), Proceedings of the 2010 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, Karlsruher Schriften zur Anthropomatik, vol. 7, pp. 151-164, KIT Scientific Publishing, 2010.
Decision Tree Classifier for Character Recognition Combining Support Vector Machines and Artificial Neural Networks	Grafmüller, M.; Beyerer, J.; Kroschel, K.	Mathematics of Data/Image Coding, Compression, and Encryption with Applications, Proceedings of SPIE Vol. 7799, 2010.
Segmentation of Printed Gray Scale Dot Matrix Characters	Grafmüller, M.; Beyerer, J.	Baralt, J.; Callaos, N.; Hashimoto, S.; Lesso, W.; Zinn, D. (eds.), Proceedings of the 14th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI), vol. II, pp. 87-91, 2010.
Character Recognition based on Trellis Diagrams	Grafmüller, M.; Beyerer, J.; Kroschel, K.	Proceedings of the 17th International Conference on Systems, Signals and Image Processing (IWSSIP), 2010.
A First Approach to Trellis-Based Classification	Grafmüller, M.	Technical report IES-2009-12. In: Beyerer, J.; Huber, M. (eds.), Proceedings of the 2009 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, pp. 175-185, KIT Scientific Publishing, 2009.