Study of the consistency of some discriminatory features used by document examiners in the analysis of handwritten letter 'a'

In this paper a study of some structural features of hand-writtenletter a' is presented. The features under considerationare structural, style and formation features documentexaminer's use when studying a questioned document to determineits authorship or authenticity.Feature extraction algorithms for the feature set were developedto perform the extraction procedure automatically.The estimate of feature consistency is introduced and measuredfor each extracted feature. The extracted feature setis analyzed for linear independency and ability to be usedfor separation of author classes (i.e. authorship decision).The results on a set of 18 authors with approximately 40 letter'a's per author indicates a high level of consistency anddiscrimination ability for most of the features analysed.

[1]  Roy Huber,et al.  Handwriting Identification: Facts and Fundamentals , 1999 .

[2]  Wilson R. Harrison,et al.  Suspect Documents: Their Scientific Examination , 1958 .

[3]  Ordway Hilton,et al.  Scientific Examination Of Questioned Documents , 1992 .

[4]  Sung-Hyuk Cha,et al.  Establishing handwriting individuality using pattern recognition techniques , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[5]  Sung-Hyuk Cha,et al.  Individuality of handwriting: a validation study , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[6]  Geetha Srikantan,et al.  Comparison of normalization methods for character recognition , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[7]  J. E. Freund,et al.  Modern Elementary Statistics. , 1953 .

[8]  G. McLachlan,et al.  Pattern Classification: A Unified View of Statistical and Neural Approaches. , 1998 .

[9]  Jürgen Schürmann,et al.  Pattern classification , 2008 .

[10]  J. E. Freund,et al.  Modern elementary statistics , 1953 .

[11]  Solihin. Yan.  A toolset of image processing algorithms for forensic document examination , 1997 .

[12]  Proceedings Seventh International Conference on Document Analysis and Recognition , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..