David Doermann

Research Scientist Emeritus

Education:

Ph.D., University of Maryland (Computer Science)

Biography:

David Doermann is a research scientist emeritus in the University of Maryland Institute for Advanced Computer Studies.

He is a leading researcher in document image analysis and recognition, focused on improving how we process and understand visual information. Doermann’s work has a global impact, enhancing the use of documents in driving business processes in the digital age.

Publications

Submitted

Ye P, EDU UMD, Doermann D. Submitted. Combining preference and absolute judgements in a crowd-sourced setting. ics.uci.edu.

2013

Kumar J, Ye P, Doermann D. 2013. Structural similarity for document image classification and retrieval. Pattern Recognition Letters.

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.

Ye Q, Doermann D. 2013. Scene Text Detection via Integrated Discrimination of Component Appearance and Consensus.

Kumar J, Ye P, Doermann D. 2013. A Dataset for Quality Assessment of Camera Captured Document Images.

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).

2012

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.

Ye P, Kumar J, Kang L, Doermann D. 2012. Unsupervised Feature Learning Framework for No-reference Image Quality Assessment. CVPR.

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.

2011

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.

Garain U, Doermann D, Oard DD. 2011. Maryland at FIRE 2011: Retrieval of OCRed Bengali. FIRE.

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.

McNamee P, Mayfield J, Oard D, Doermann D, Xu T, Wu K. 2011. Cross-Language Entity Linking in Maryland during a Hurricane. TAC.

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.

2010

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.

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

2009

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.

Zhu G, Yu X, Li Y, Doermann D. 2009. Language Identification for Handwritten Document Images Using AShape Codebook. Pattern Recognition. 42:3184-3191.

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.

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.

2008

Liu X, Doermann D. 2008. Computer Vision and Image Processing Techniques for Mobile Application. LAMP-TR-151

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.

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

Zheng Y, Doermann D, Li H. 2008. Handwritten Document Image 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.

2007

Hannuksela J, Sangi P, Heikkila J, Liu X, Doermann D. 2007. Document Image Mosaicing with Mobile Phones. International Conference on Image Analysis and Processing (ICIAP'07). :1-8.

Yu X, Li Y, Fermüller C, Doermann D. 2007. Object Detection Using Shape Codebook. British Machine Vision Conference (BMVC'07).

Lin Z, Davis LS, Doermann D, DeMenthon D. 2007. An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. :1-8.

Liu X, Doermann D. 2007. Mobile Retriever - Finding Document with a Snapshot. CBDAR. :29-34.

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.