A Database for Handwritten Text Recognition Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
The IRESTE On/Off (IRONOFF) Dual Handwriting Database
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Collection of on-line handwritten Japanese character pattern databases and their analyses
International Journal on Document Analysis and Recognition
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
IAM-OnDB - an On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Interactive Document Processing and Digital Libraries
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
Text line segmentation of historical documents: a survey
International Journal on Document Analysis and Recognition
Word spotting for historical documents
International Journal on Document Analysis and Recognition
An old greek handwritten OCR system based on an efficient segmentation-free approach
International Journal on Document Analysis and Recognition
Special issue on the analysis of historical documents
International Journal on Document Analysis and Recognition
On-Line Handwritten Text Line Detection Using Dynamic Programming
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Novel Connectionist System for Unconstrained Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Slit Style HOG Feature for Document Image Word Spotting
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Combining Alignment Results for Historical Handwritten Document Analysis
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Language Model Integration for the Recognition of Handwritten Medieval Documents
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Automatic Transcription of Handwritten Medieval Documents
VSMM '09 Proceedings of the 2009 15th International Conference on Virtual Systems and Multimedia
A line-based representation for matching words in historical manuscripts
Pattern Recognition Letters
Transcription alignment of Latin manuscripts using hidden Markov models
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
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
Lexicon-free handwritten word spotting using character HMMs
Pattern Recognition Letters
Asset digitization: moving beyond facsimile
SIGGRAPH Asia 2012 Technical Briefs
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Handwriting recognition in historical documents using very large vocabularies
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Generation of learning samples for historical handwriting recognition using image degradation
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Text line extraction for historical document images
Pattern Recognition Letters
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Handwriting recognition in historical documents is vital for the creation of digital libraries. The creation of readily available ground truth data plays a central role for the development of new recognition technologies. For historical documents, ground truth creation is more difficult and time-consuming when compared with modern documents. In this paper, we present a semi-automatic ground truth creation proceeding for historical documents that takes into account noisy background and transcription alignment. The proposed ground truth creation is demonstrated for the IAM Historical Handwriting Database (IAM-HistDB) that is currently under construction and will include several hundred Old German manuscripts. With a small set of algorithmic tools and few manual interactions, it is shown how laypersons can efficiently create a ground truth for handwriting recognition.