Input sensitive thresholding for ancient Hebrew manuscript
Pattern Recognition Letters
Interactive high-dimensional index for large Chinese calligraphic character databases
ACM Transactions on Asian Language Information Processing (TALIP)
Skeleton-Based Recognition of Chinese Calligraphic Character Image
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Latent Style Model: Discovering writing styles for calligraphy works
Journal of Visual Communication and Image Representation
A Web-Based Search Engine for Chinese Calligraphic Manuscript Images
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
Proceedings of the ACM International Conference on Image and Video Retrieval
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Retrieval of chinese calligraphic character image
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
LSH-based large scale chinese calligraphic character recognition
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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This paper presents preliminary results for document classification of ancient Hebrew manuscripts. The main goal is to analyze documents of different writing styles in order to identify the locations, the dates, and the writer of the test documents. This analysis depends crucially on good binarization of the corrupted manuscripts.We propose an accurate method for binarization of the manuscripts.We further propose and test topological features for handwriting style classification based a selected subset of the Hebrew alphabet. In our preliminary experiments we have used only two characters, the character Aleph and the character Lamed.Our results so far yield 100% correct classification of a set of fourteen documents written by fourteen different writers.