David Doermann
David Doermann is a research scientist emeritus in UMIACS.
In April, 2018, Doermann relocated to the University at Buffalo where he is a professor of computer science and engineering and director of the University at Buffalo Artificial Intelligence Institute.
At the University of Maryland, he served as co-director of the Laboratory for Language and Media Processing in UMIACS and as an adjunct member of the graduate faculty.
Doermann's team of researchers focus on topics related to document image analysis and multimedia information processing. Recent intelligent document image analysis projects include page decomposition, structural analysis and classification, page segmentation, logo recognition, document image compression, duplicate document image detection, image based retrieval, character recognition, generation of synthetic OCR data, and signature verification. In video processing, projects have centered on the segmentation of compressed domain video sequences, structural representation and classification of video, detection of reformatted video sequences, and the performance evaluation of automated video analysis algorithms.
In 2002 he received an Honorary Doctorate of Technology Sciences from the University of Oulu for his contributions to digital media processing and document analysis research. Doermann is a founding co-editor of the International Journal on Document Analysis and Recognition, has served as the general chair or co-chair of more than a half dozen international conferences and workshops, including the International Conference on Document Analysis and Recognition (ICDAR), which was held in Washington, D.C., in 2013. He has authored more than 30 journal publications and more than 125 refereed conference papers.
He received a B.Sc. degree in computer science and mathematics from Bloomsburg University in 1987, a M.Sc. degree in 1989 in the Department of Computer Science at the University of Maryland, College Park. He continued his studies in the Computer Vision Laboratory, where he earned a doctorate in 1993.
Publications
1995
1995. Generating Synthetic Data for Text Analysis Systems. SDAIR. :449-467.
1994
1994. Document Understanding at Maryland. IUW. :817-826.
1994. Page Segmentation Using Decision Integration and Wavelet Packet Basis. ICPR. :345-349.
1994. Instrument Grasp: AModel and its Effects on Handwritten Strokes. Pattern Recognition. 27(2):233-245.
1994. Document page decomposition by integration of distributed soft decisions. International Conference on Neural Networks. :4022-4027.
1994. Recovery of Temporal Information from Static Images of Handwriting. International Journal of Computer Vision. 52(1-2):143-164.
1993
1993. Image based typographic analysis of documents. Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on. :769-773.
1993. Logo Recognition. CS-TR-3145
1993. Logo Recognition using Geomentric Invariants. ICDAR. :894-897.
1993. The Interpretation and Recognition of Interfering Strokes. IWFHR. :41-50.
1993. The processing of form documents. Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on. :497-501.
1992
1992. Modeling of a Grasp for Handwriting. Proceedings of the Twenty-Third Annual Modeling and Simulation Conference. :2133-2140.
1992. Instrument Grasp: AModel and its Effects on Handwritten Strokes. CAR-TR-614
1992. Temporal clues in handwriting. Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on. :317-320.
1992. Recovery of temporal information from static images of handwriting. Proceedings in the IEEE CVPR. :162-168.
1992. Simulating Pressure Variations in Handwriting. Proceedings of the Twenty-Third Annual Modeling and Simulation Conference. :2141-2148.
1991
1991. Recovery of Temporal Information from Static Images of Handwriting. CAR-TR-595
1990
1990. Mailpiece Preprocessing: The population of Character Parts. ATC. :961-972.
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