David Doermann

Research Scientist Emeritus
Education: 
Ph.D., University of Maryland (Computer Science)
Biography: 

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


Dori D, Doermann D, Shin C, Haralick R, Phillips I, Buchman M, Ross D.  1995.  The representation of document structure: A generic object-process approach. CAR-TR-785

1994


Doermann D, Varma V, Rosenfeld A.  1994.  Instrument Grasp: AModel and its Effects on Handwritten Strokes. Pattern Recognition. 27(2):233-245.

Etemad K, Doermann D, Chellappa R.  1994.  Document page decomposition by integration of distributed soft decisions. International Conference on Neural Networks.
:4022-4027.

Doermann D, Rosenfeld A.  1994.  Recovery of Temporal Information from Static Images of Handwriting. International Journal of Computer Vision. 52(1-2):143-164.

1993


Doermann D, Furuta R.  1993.  Image based typographic analysis of documents. Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on.
:769-773.

Doermann D, Rivlin E, Weiss I.  1993.  Logo Recognition. CS-TR-3145

Doermann D, Rosenfeld A.  1993.  The processing of form documents. Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on.
:497-501.

1992


Varma V, Doermann D.  1992.  Modeling of a Grasp for Handwriting. Proceedings of the Twenty-Third Annual Modeling and Simulation Conference.
:2133-2140.

Doermann D, Rosenfeld A.  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.

Doermann D, Varma V.  1992.  Simulating Pressure Variations in Handwriting. Proceedings of the Twenty-Third Annual Modeling and Simulation Conference.
:2141-2148.

1991

1990

Pages