A search engine for historical manuscript images
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosted decision trees for word recognition in handwritten document retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Classification Models for Historical Manuscript Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Holistic cursive word recognition based on perceptual features
Pattern Recognition Letters
Hierarchical approximate matching for retrieval of chinese historical calligraphy character
Journal of Computer Science and Technology
A comprehensive evaluation methodology for noisy historical document recognition techniques
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
Nearest neighbor based collection OCR
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Towards more effective distance functions for word image matching
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A line-based representation for matching words in historical manuscripts
Pattern Recognition Letters
Integrated Computer-Aided Engineering
Image retrieval systems based on compact shape descriptor and relevance feedback information
Journal of Visual Communication and Image Representation
User-assisted alignment of Arabic historical manuscripts
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Data mining medieval documents by word spotting
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
A keyword spotting approach using blurred shape model-based descriptors
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Lexicon-free handwritten word spotting using character HMMs
Pattern Recognition Letters
Aligning transcripts to automatically segmented handwritten manuscripts
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Recognition of hand-written archive text documents
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Recognition of Kannada characters extracted from scene images
Proceeding of the workshop on Document Analysis and Recognition
Near-duplicate document image matching: A graphical perspective
Pattern Recognition
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Most offline handwriting recognition approaches proceed by segmenting words into smaller pieces (usually characters) which are recognized separately. The recognition result of a word is then the composition of the individually recognized parts. Inspired by results in cognitive psychology, researchers have begun to focus on holistic word recognition approaches. Here we present a holistic word recognition approach for single-author historical documents, which is motivated by the fact that for severely degraded documents a segmentation of words into characters will produce very poor results. The quality of the original documents does not allow us to recognize them with high accuracy - our goal here is to produce transcriptions that will allow successful retrieval of images, which has been shown to be feasible even in such noisy environments.We believe that this is the first systematic approach to recognizing words in historical manuscripts with extensive experiments. Our experiments show recognition accuracy of 65%, which exceeds performance of other systems which operate on non-degraded input images (non historical documents).