Towards Automatic Transcription of Syriac Handwriting
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Handwritten Syriac Character Recognition using Order Structure Invariance
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Data Driven Image Models through Continuous Joint Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Writer Profiling Using Handwriting Copybook Styles
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
Text-Independent Writer Identification and Verification Using Textural and Allographic Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Writer Identification of Ancient Greek Inscriptions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieving Handwriting Styles: A Content Based Approach to Handwritten Document Retrieval
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Writer Verification of Historical Documents among Cohort Writers
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
A Laplacian Energy for Document Binarization
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Identifying the writer of ancient inscriptions and Byzantine codices. A novel approach
Computer Vision and Image Understanding
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Thousands of documents written in Syriac script by early Christian theologians are of unknown provenance and uncertain date, partly due to a shortage of human expertise. This paper addresses the problem of attribution by developing a novel algorithm for offline handwriting style identification and document retrieval, demonstrated on a set of documents in the Estrangelo variant of Syriac writing. The method employs a feature vector based upon the estimated affine transformation of actual observed characters, character parts, and voids within characters as compared to a hypothetical average or ideal form. Experiments on seventy-six pages from nineteen Syriac manuscripts written by different scribes show that the method can identify pages written in the same hand with high precision, even with documents that exhibit various challenging forms of degradation.