Writer adaptation techniques in HMM based off-line cursive script recognition
Pattern Recognition Letters
Use of Positional Information in Sequence Alignment for Multiple Classifier Combination
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Using attributed plex grammars for the generation of image and graph databases
Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Towards Automatic Video-based Whiteboard Reading
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
An implicit segmentation-based method for recognition of handwritten strings of characters
Proceedings of the 2006 ACM symposium on Applied computing
Computer Assisted Transcription of Text Images and Multimodal Interaction
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
GCDB: a character database system
Proceedings of the International Workshop on Multilingual OCR
Iconic and multi-stroke gesture recognition
Pattern Recognition
Multimodal interactive transcription of text images
Pattern Recognition
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
IBN SINA: a database for research on processing and understanding of Arabic manuscripts images
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Improving isolated handwritten word recognition using a specialized classifier for short words
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Towards robust writer verification by correcting unnatural slant
Pattern Recognition Letters
Bi-modal handwritten text recognition (BiHTR) ICPR 2010 contest report
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Character-level interaction in multimodal computer-assisted transcription of text images
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A database for offline arabic handwritten text recognition
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Writer identification using directional ink-trace width measurements
Pattern Recognition
Creating a handwriting recognition corpus for Bushman languages
ICADL'11 Proceedings of the 13th international conference on Asia-pacific digital libraries: for cultural heritage, knowledge dissemination, and future creation
An OCR post-processing approach based on multi-knowledge
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Aligning transcripts to automatically segmented handwritten manuscripts
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Understanding Digital Documents Using Gestalt Properties of Isothetic Components
International Journal of Digital Library Systems
Handling signal variability with contextual markovian models
Pattern Recognition Letters
Joint semi-supervised learning of Hidden Conditional Random Fields and Hidden Markov Models
Pattern Recognition Letters
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In this paper we present a new database for off-line handwriting recognition, together with a few preprocessing and text segmentation procedures. The database is based on the Lancaster-Oslo/Bergen(LOB) corpus. This corpus is a collection of texts that were used to generate forms, which subsequently were filled out by persons with their handwriting. Up to now (December 1998) the database includes 556 forms produced by approximately 250 different writers. The database consists of full English sentences. It can serve as a basis for a variety of handwriting recognition tasks. The main focus, however, is on recognition techniques that use linguistic knowledge beyond the lexicon level. This knowledge can be automatically derived from the corpus or it can be supplied from external sources.