A bag of notes approach to writer identification in old handwritten musical scores
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Style-based retrieval for ancient Syriac manuscripts
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Statistical mixture model for documents skew angle estimation
Pattern Recognition Letters
Adaptive binarization method for enhancing ancient malay manuscript images
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Dynamic Time Warping for Chinese calligraphic character matching and recognizing
Pattern Recognition Letters
Identifying the writer of ancient inscriptions and Byzantine codices. A novel approach
Computer Vision and Image Understanding
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We present our work on the paleographic analysis and recognition system intended for processing of historical Hebrew calligraphy documents. The main goal is to analyze documents of different writing styles in order to identify the locations, dates, and writers of test documents. Using interactive software tools, a data base of extracted characters has been established. It now contains about 20,000 characters of 34 different writers, and will be distinctly expanded in the near future. Preliminary results of automatic extraction of pre-specified letters using the erosion operator are presented. We further propose and test topological features for handwriting style classification based on a selected subset of the Hebrew alphabet. A writer identification experiment using 34 writers yielded 100% correct classification.