A note on binary template matching
Pattern Recognition
Off-line writer verification using ordinary characters as the object
Pattern Recognition
ImprovingWriter Identification by Means of Feature Selection and Extraction
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Individuality Analysis of Online Kanji Handwriting
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Statistical Model For Writer Verification
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Comparison of Clustering Methods for Writer Identification and Verification
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Text-Independent Writer Identification and Verification Using Textural and Allographic Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online writer verification using kanji handwriting
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Extraction and analysis of document examiner features from vector skeletons of grapheme ‘th'
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Identifying the writer of ancient inscriptions and Byzantine codices. A novel approach
Computer Vision and Image Understanding
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Analysis of handwritten characters (allographs) plays animportant role in forensic document examination. However,so far there lacks a comprehensive and quantitative study onindividuality of handwritten characters. Based on a largenumber of handwritten characters extracted from handwritingsamples of 1000 individuals in US, the individuality ofhandwritten characters has been quantitatively measuredthrough identification and verification models. Our studyshows that in general alphabetic characters bear more individualitythan numerals and use of a certain number ofcharacters will significantly outperform the global featuresof handwriting samples in handwriting identification andverification. Moreover, the quantitative measurement ofdiscriminative powers of characters offers a general guidancefor selecting most-informative characters in examiningforensic documents.