A Novel Approach for Detection of Alteration in Ball Pen Writings

Authors:
Rajesh Kumar;Nikhil R. Pal;J. D. Sharma;Bhabatosh Chanda
Affiliations:
Directorate of Forensic Science, MHA, GOI, New Delhi, India;ECSU, Indian Statistical Institute, Kolkata, India;Dr. HSG University, Sagar, India;ECSU, Indian Statistical Institute, Kolkata, India
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

Citing 4
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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.