Abstract
Police corps have been extensively used Forensic techniques to perform criminal identification. One of these techniques is questioned document examination. Forensic document examiners can identify individuals in big populations using a classification of the forms of manuscript characters, i.e. a handwriting formulation. This paper presents a method that defines a handwriting formulation that allows high identification accuracy minimizing the amount of data used and the sample size. Thus the method improves the query performance in a writing specimens database and it reduces the storage requirements. Experiments with results of 100% accuracy on the identification of 20 criminals in a real forensic database are presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Huber, R.A., Headrick, A.M.: Handwriting identification: facts and fundamentals. Ed. CRC Press, Boca Raton (1999)
Jain, K., Bolle, R., Pankanti, S.: Biometrics. Personal identification in networked society. Ed. Kluwer Academic Publishers, Dordrecht (1999)
Srihari, S.N., et al.: Handwriting identification: research to study validity of individuality of handwriting and develop computer-assisted procedures for comparing handwriting. Tech. Rep. CEDAR-TR-01-1, Center of Excellence for Document Analysis and Recognition, University at Buffalo, State University of New York, p. 54 (February 2001)
Said, H.E.S., Peake, G.S., Tan, T.N., Baker, K.D.: Writer identification from nonuniformly skewed handwriting images. In: Proc. 9th. British Machine Vision Conference, pp. 478–487 (2000)
Cohen, F.S., Huang, Z., Yang, Z.: Invariant matching and identification of curves using b-splines curve representation. IEEE Transactions on Image Processing 4(1), 1–10 (1995)
Duda, R.O., Hart, P.E.: Pattern Classifications, 2nd edn. John Wiley & Sons, Chichester (1973)
Otsu, N.: A threshold selection method from gray-scale histogram. IEEE Transactions System, Man and Cybernetics 9, 62–66 (1979)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tapiador, M., Sigüenza, J.A. (2004). Writer Identification Method Based on Forensic Knowledge. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_76
Download citation
DOI: https://doi.org/10.1007/978-3-540-25948-0_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
Online ISBN: 978-3-540-25948-0
eBook Packages: Springer Book Archive