Curves and surfaces for CAGD: a practical guide
Curves and surfaces for CAGD: a practical guide
A Database for Handwritten Text Recognition Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
A Full English Sentence Database for Off-Line Handwriting Recognition
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Offline Arabic Handwriting Recognition: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
RSLDI: Restoration of single-sided low-quality document images
Pattern Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
A real-world noisy unstructured handwritten notebook corpus for document image analysis research
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Statistical script independent word spotting in offline handwritten documents
Pattern Recognition
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This paper describes the steps that have been undertaken in order to develop the IBN SINA database, which is designed to apply learning techniques in the processing and understanding of document images. The description of the preparation process, including preprocessing, feature extraction and labeling, is provided. The database has been evaluated using classification techniques, such as the SVM classifiers. In order to make the database compatible with these classifiers, the labels of the shapes have been translated into a set of bi-class problems. Promising results with the SVM classifiers have been obtained.