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

Submitted

2013


Kumar J, Doermann D.  2013.  Unsupervised Classification of Structurally Similar Document Images. International Conference on Document Analysis and Recognition.

Ye P, Kumar J, Kang L, Doermann D.  2013.  Real-time No-Reference Image Quality Assessment based on Filter Learning. International Conference on Computer Vision and Pattern Recognition (CVPR).

Ye P, Doermann D.  2013.  Document Image Quality Assessment: A Brief Survey. International Conference on Document Analysis and Recognition (ICDAR).

Du X, Abdalmageed W, Doermann D.  2013.  Large-Scale Signature Matching Using Multi-stage Hashing. Document Analysis and Recognition (ICDAR), 2013 12th International Conference on.
:976-980.

Agrawal M, Doermann D.  2013.  Clutter noise removal in binary document images. International Journal on Document Analysis and Recognition (IJDAR). 16(4):351-369.

2012


Kang L, Doermann D, Cao H, Prasad R, Natarajan P.  2012.  Local Segmentation of Touching Characters using Contour based Shape Decomposition. Document Analysis Systems.

Roy A, Halder B, Garain U, Doermann D.  2012.  Automatic Authentication of Banknotes. IEEE Transactions on Information Forensics & Security.

Ye P, Doermann D.  2012.  Learning features for predicting OCR accuracy. International Conference on Pattern Recognition (ICPR).
:3204-3207.

Kumar J, Chen F, Doermann D.  2012.  Sharpness Estimation for Document and Scene Images. International Conference on Pattern Recognition (ICPR 2012).
:3292-3295.

Jain R, Doermann D.  2012.  Logo Retrieval in Document Images. Document Analysis Systems.

Zajic D, Doermann D, Bloodgood M, Rodrigues P, Ye P, Zotkina E.  2012.  A Hybrid System for Error Detection in Electronic Dictionaries. Technical Reports of the Center for the Advanced Study of Language.

Kumar J, Ye P, Doermann D.  2012.  Learning Document Structure for Retrieval and Classification. International Conference on Pattern Recognition (ICPR 2012).
:1558-1561.

Ye P, Doermann D.  2012.  No-Reference Image Quality Assessment using Visual Codebooks. Image Processing, IEEE Transactions on. PP(99):1-1.

Song Z, Ismael S, Grimes S, Doermann D, Strassel S.  2012.  Linguistic Resources for Handwriting Recognition and Translation Evaluation. Eight International Conference on Language Resources and Evaluation (LREC'12).

Bloodgood M, Ye P, Rodrigues P, Zajic D, Doermann D.  2012.  A Random Forest System Combination Approach for Error Detection in Digital Dictionaries. Innovative hybrid approaches to the processing of textual data, EACL 2012 Workshop.
:78-86.

Kang L, Kumar J, Ye P, Doermann D.  2012.  Learning Text-line Segmentation using Codebooks and Graph Partitioning. International Conference on Frontiers in Handwriting Recognition (ICFHR).
:63-68.

2011


Garain U, Paik J, Pal T, Majumder P, Doermann D, Oard D.  2011.  Overview of the FIRE 2011 RISOTTask. FIRE.

Rodrigues P, Zajic D, Bloodgood M, Ye P, Doermann D.  2011.  Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling. Electronic lexicography in the 21st century: new applications for new users (eLEX2011).
:227-232.

Agrawal M, Doermann D.  2011.  Stroke-like Pattern Noise Removal in Binary Document Images. International Conference on Document Analysis and Recognition.
:17-21.

Kumar J, Doermann D.  2011.  Fast Rule-line Removal using Integral Images and Support Vector Machines. Intl. Conf. on Document Analysis and Recognition (ICDAR 11).
:584-588.

Kumar J, Pillai J, Doermann D.  2011.  Document Image Classification and Labeling using Multiple Instance Learning. Intl. Conf. on Document Analysis and Recognition (ICDAR 11).
:1059-1063.

Ye P, Doermann D.  2011.  No-reference image quality assessment based on visual codebook. Image Processing (ICIP), 2011 18th IEEE International Conference on.
:3089-3092.

Kumar J, Kang L, Doermann D, Abd-Almageed W.  2011.  Segmentation of Handwritten Textlines in Presence of Touching Components. Intl. Conf. on Document Analysis and Recognition (ICDAR 11).
:109-113.

Kumar J, Prasad R, Cao H, Abd-Almageed W, Doermann D, Natarajan P.  2011.  Shape Codebook based Handwritten and Machine Printed Text Zone Extraction. Document Recognition and Retrieval.
:7874:1-8-7874:1-8.

Kang L, Doermann D.  2011.  Template based Segmentation of Touching Components in Handwritten Text Lines. 11th Intl. Conf. on Document Analysis and Recognition (ICDAR'11).
:569-573.

Zajic D, Maxwell M, Doermann D, Rodrigues P, Bloodgood M.  2011.  Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language. Electronic lexicography in the 21st century: new applications for new users (eLEX2011).
:297-301.

McNamee P, Mayfield J, Lawrie D, Oard D, Doermann D.  2011.  Cross Language Entity Linking. IJCNLP: International Joint Conference on Natural Language Processing.

Jain R, Doermann D.  2011.  Offline Writer Identification using K-Adjacent Segments. International Conference on Document Analysis and Recognition.
:769-773.

2010


Liu X, Doermann D, Li H.  2010.  Mobile Visual Aid Tools for Users with Visual Impairments. Mobile Multimedia ProcessingMobile Multimedia Processing.
:21-36.

Seo W, Agrawal M, Doermann D.  2010.  Performance Evaluation Tools for Zone Segmentation and Classification (PETS). International Conference on Pattern Recognition.
:503-506.

Doermann D, Zotkina E, Li H.  2010.  GEDI - AGroundtruthing Environment for Document Images. Ninth IAPRInternational Workshop on Document Analysis Systems (DAS 2010).

Agrawal M, Doermann D.  2010.  Context-Aware and Content-Based Dynamic Voronoi Page Segmentation. The Nineth IAPRInternational Workshop on Document Analysis Systems.
:73-80.

Kumar J, Abd-Almageed W, Kang L, Doermann D.  2010.  Handwritten Arabic text line segmentation using affinity propagation. Proceedings of the 9th IAPR International Workshop on Document Analysis Systems.
:135-142.

2009


Abd-Almageed W, Kumar J, Doermann D.  2009.  Page Rule-Line Removal using Linear Subspaces in Monochromatic Handwritten Arabic Documents. Intl. Conf. on Document Analysis and Recognition (ICDAR 09).
:768-772.

Agrawal M, Doermann D.  2009.  Clutter Noise Removal in Binary Document Images. International Conference on Document Analysis and Recognition (ICDAR '09).
:556-560.

Zhu G, Doermann D.  2009.  Logo Matching for Document Image Retrieval. International Conference on Document Analysis and Recognition (ICDAR 2009).
:606-610.

Zhu G, Zheng Y, Doermann D, Jaeger S.  2009.  Signature Detection and Matching for Document Image Retrieval. IEEETransactions on Pattern Analysis and Machine Intelligence. 31(11):2015-2031.

Agrawal M, Doermann D.  2009.  Voronoi++: ADynamic Page Segmentation approach based on Voronoi and Docstrum features. International Conference on Document Analysis and Recognition (ICDAR '09).
:1011-1015.

Steinherz T, Doermann D, Rivlin E, Intrator N.  2009.  Off-Line Loop Investigation for Handwriting Analysis. IEEETransactions on Pattern Analysis and Machine Intelligence. 31(2):193-209.

Dondera R, Doermann D, Davis LS.  2009.  Action recognition based on human movement characteristics. Motion and Video Computing, 2009. WMVC '09. Workshop on.
:1-8.

2008


Liu X, Doermann D, Li H.  2008.  Camera Phone Based Tools for People with Visual Impairments. The First International Workshop on Mobile Multimedia Processing.

Liu X, Doermann D.  2008.  Mobile Retriever: Access to Digital Documents from their Physical Source. International Journal on Document Analysis and Recognition. 11(1):19-27.

Abd-Almageed W, Agrawal M, Seo W, Doermann D.  2008.  Document Zone Classification Using Partial Least Squares and Hybrid Classifiers. ICPR 2008. 19th International Conference on Pattern Recognition, 2008..
:1-4.

Tulyakov S, Jaeger S, Govindaraju V, Doermann D.  2008.  Review of Classifier Combination Methods. Studies in Computational Intelligence: Machine Learning in Document Analysis and RecognitionStudies in Computational Intelligence: Machine Learning in Document Analysis and Recognition.
:361-386.

Liu X, Doermann D, Li H.  2008.  VCode - Pervasive Data Transfer Using Video Barcode. IEEETransactions on Multimedia. 10(3):361-371.

Liu X, Doermann D.  2008.  ACamera Phone Based Currency Reader for the Visually Impaired. The Tenth International ACMSIG ACCESS Conference on Computers and Accessibility.
:305-306.

Jaeger S, Ma H, Doermann D.  2008.  Combining Classifiers with Informational Confidence. Studies in Computational Intelligence: Machine Learning in Document Analysis and RecognitionStudies in Computational Intelligence: Machine Learning in Document Analysis and Recognition.
:163-192.

Liu X, Doermann D, Li H.  2008.  ACamera-based Mobile Data Channel: Capacity and Analysis. ACM International Conference on Multimedia.
:359-368.

Yi L, Zheng Y, Doermann D, Jaeger S.  2008.  Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. IEEETransactions on Pattern Analysis and Machine Intelligence.
:1313-1329.

Agrawal M, Doermann D.  2008.  Re-Targetable OCR with Intelligent Character Segmentation. DAS '08: Proceedings of the 2008 The Eighth IAPRInternational Workshop on Document Analysis Systems.
:183-190.

Zhu G, Zheng Y, Doermann D.  2008.  Signature-based Document Image Retrieval. The 10th European Conference on Computer Vision (ECCV 2008).
:752-765.

Zhu G, Yu X, Li Y, Doermann D.  2008.  Learning Visual Shape Lexicon for Document Image Content Recognition. The 10th European Conference on Computer Vision (ECCV 2008).
:745-758.

Zhu G, Yu X, Li Y, Doermann D.  2008.  Unconstrained Language Identification Using AShape Codebook. The 11th International Conference on Frontiers in Handwritting Recognition (ICFHR 2008).
:13-18.

2007


Lin Z, Davis LS, Doermann D, DeMenthon D.  2007.  Hierarchical Part-Template Matching for Human Detection and Segmentation. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on.
:1-8.

Yu X, Yi L, Fermüller C, Doermann D.  2007.  Object detection using a shape codebook. British Machine Vision Conference. 4

Farrell R, Doermann D, Davis LS.  2007.  Learning Higher-order Transition Models in Medium-scale Camera Networks. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on.
:1-8.

Lin Z, Davis LS, Doermann D, DeMenthon D.  2007.  Simultaneous appearance modeling and segmentation for matching people under occlusion. Proceedings of the 8th Asian conference on Computer vision - Volume Part II.
:404-413.

Zhu G, Doermann D.  2007.  Automatic Document Logo Detection. The 9th International Conference on Document Analysis and Recognition (ICDAR 2007).
:864-868.

Zhu G, Zheng Y, Doermann D, Jaeger S.  2007.  Multi-scale Structural Saliency for Signature Detection. IEEEConference on Computer Vision and Pattern Recognition (CVPR 2007)IEEEConference on Computer Vision and Pattern Recognition (CVPR 2007).
:1-8.

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