Abstract
Addition or alteration to documents that have profound implication is very common. The technique that Forensic Document Examiners (FDEs) use for the examination of such documents is basically a physical examination. In this paper we consider the alteration detection as a two-class pattern recognition problem. Image processing techniques are used for feature extraction and a neural network based feature analysis technique is used for finding a set of discriminatory features. The results using a nearest neighbor classifier are very encouraging. The results also demonstrate the effectiveness of feature analysis.
Chapter PDF
Similar content being viewed by others
References
Osborne, A.S.: Questioned Documents. Boyd Printing Co., New York (1929)
Ellen, D.: The Scientific Examination of Documents Methods and Techniques, 2nd edn. Taylor and Francis, London (2003)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Printice Hall, New Jersey (1996)
Koschan, A., Abidi, M.: Digital Color Image Processing. Wiley Interscience, New Jersey (2008)
Berens, J., Finlayson, G.D., Qiu, G.: A Statistical Image of Color Space. In: IEE Proc. International conference on Image Processing and its Application (1), pp. 348–352 (1999)
Yap, P.T., Parmesaran, R.: Content Based Image Retrieval using Legendre Chromaticity Distribution moments. In: IEE Proc. Visual Image Signal Processing, pp. 17–24 (2006)
Teh, C.H., Chin, R.T.: On Image Analysis by the Methods of Moments. IEEE Transaction on Pattern Analysis and Machine Intelligence 10(4), 496–513 (1988)
Haralick, R.M., Bosley, R.: Texture Features for Image Classification. In: Proc. Third ERTS symposium, NASA, pp. 1219–1228 (1973)
Liu, H., Motoda, H.: Computational Methods of Feature Selection. Chapman and Hall/CRC, Taylor and Francis (2007)
Pal, N.R., Chintalapudi, K.K.: A Connectionist System for Feature Selection. Neural, Parallel and Scientific Computations (5), 359–382 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kumar, R., Pal, N.R., Sharma, J.D., Chanda, B. (2009). A Novel Approach for Detection of Alteration in Ball Pen Writings. In: Chaudhury, S., Mitra, S., Murthy, C.A., Sastry, P.S., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2009. Lecture Notes in Computer Science, vol 5909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11164-8_65
Download citation
DOI: https://doi.org/10.1007/978-3-642-11164-8_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11163-1
Online ISBN: 978-3-642-11164-8
eBook Packages: Computer ScienceComputer Science (R0)