Handwriting Evidence Evaluation Based on the Shape of Characters: Application of Multivariate Likelihood Ratios

Journal of Forensic Sciences

Volumn 56, Issue SUPPL. 1, 2011, Pages

  Marquis, Raymond ^a   Bozza, Silvia ^b   Schmittbuhl, Matthieu ^c   Taroni, Franco ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

^c University of Strasbourg   (France)

Author keywords

Evidence evaluation; Forensic science; Fourier descriptors; Handwriting; Multivariate likelihood ratio; Shape analysis

Indexed keywords

AGGRESSION; ARTICLE; BAYES THEOREM; FORENSIC SCIENCE; HANDWRITING; HUMAN; MULTIVARIATE ANALYSIS; STATISTICAL MODEL;

AGONISTIC BEHAVIOR; BAYES THEOREM; FORENSIC SCIENCES; HANDWRITING; HUMANS; LIKELIHOOD FUNCTIONS; MULTIVARIATE ANALYSIS;

EID: 78650755987     PISSN: 00221198     EISSN: 15564029     Source Type: Journal    
DOI: 10.1111/j.1556-4029.2010.01602.x     Document Type: Article

References (20)

1. Lee F. Review of "handwriting identification evidence in the post-Daubert world." J Am Soc Questioned Doc Examiners 1998;1:67-8.
2. Crane A. The frequency of round handwriting in Edmonton, Alberta Schools. Société Canadienne des Sciences Judiciaires 1999;32:169-74.
3. Horton R. A study of the occurrence of certain handwriting characteristics in a random population. Int J Forensic Doc Examiners 1996;2:95-102.
4. Livingston O. Frequency of certain characteristics in handwriting pen-printing of two hundred people. J Forensic Sci 1963;8:250-9.
5. Muehlberger R, Newman K, Regent J, Wichmann J. A statistical examination of selected handwriting characteristics. J Forensic Sci 1977;22:206-15.
6. Wing A, Nimmo-Smith I. The variability of cursive handwriting measure defined along a continuum: letter specificity. J Forensic Sci Soc 1987;37:297-306.
7. Zimmerman J. Frequency of omission, perseveration and reversals in handwriting and relative value as individual characteristics. J Forensic Ident 1990;40:127-34.
8. Zimmerman J. Counting handwriting characteristics. Int J Forensic Doc Examiners 1998;4:318-22.
9. Bensefia A, Paquet T, Heutte L. A writer identification and verification system. Pattern Recognit Lett 2005;26:2080-92.
10. Leedham G, Chachra S. Writer identification using innovative binarised features of handwritten numerals. Proceedings of the 7th International Conference on Document Analysis and Recognition; 2003 Aug 3-6; Edinburgh, Scotland. International Association of Pattern Recognition, 2003;413-6.
11. Plamondon R, Lorette G. Automatic signature verification and writer identification-the state of the art. Pattern Recogn 1989;22:107-31.
12. Said H, Tan T, Baker K. Personal identification based on handwriting. Pattern Recogn 2000;33:149-60.
13. Schomaker L, Franke K, Bulacu M. Using codebooks of fragmented connected-component contours in forensic and historic writer identification. Pattern Recognit Lett 2007;28:719-27.
14. Srihari S, Huang C, Srinivasan H. On the discriminability of the handwriting of twins. J Forensic 2008;53:430-46.
15. Marquis R, Taroni F, Bozza S, Schmittbuhl M. Quantitative characterization of morphological polymorphism of handwritten characters loops. Forensic Sci Int 2006;164:211-20.
16. Bozza S, Taroni F, Marquis R, Schmittbuhl M. Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship. Appl Stat 2008;57:329-41.
17. Aitken CGG, Lucy D. Evaluation of trace evidence in the form of multivariate data. Appl Stat 2004;53:109-22.
18. Marquis R, Schmittbuhl M, Mazzella WD, Taroni F. Quantification of the shape of handwritten characters: a step to objective discrimination between writers based on the study of the capital character O. Forensic Sci Int 2005;150:23-32.
19. Good IJ. Probability and the weighing of evidence. London, UK: Griffin, 1950.
20. Robertson B, Vignaux GA. Interpreting evidence: evaluating forensic science in the courtroom. Chichester, UK: John Wiley & Sons, 1995.