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19 January 2009 Identification of forgeries in handwritten petitions for ballot propositions
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Proceedings Volume 7247, Document Recognition and Retrieval XVI; 72470S (2009)
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Many governments have some form of "direct democracy" legislation procedure whereby individual citizens can propose various measures creating or altering laws. Generally, such a process is started with the gathering of a large number of signatures. There is interest in whether or not there are fraudulent signatures present in such a petition, and if so what percentage of the signatures are indeed fraudulent. However, due to the large number of signatures (tens of thousands), it is not feasible to have a document examiner verify the signatures directly. Instead, there is interest in creating a subset of signatures where there is a high probability of fraud that can be verified. We present a method by which a pairwise comparison of signatures can be performed and subsequent sorting can generate such subsets.
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Sargur Srihari, Veshnu Ramakrishnan, Manavender Malgireddy, and Gregory R. Ball "Identification of forgeries in handwritten petitions for ballot propositions", Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470S (19 January 2009);

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