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Conference papers

Hyper-spectral Analysis for Automatic Signature Extraction

Abstract : Signatures are one of the most accessible and prevailed ways of authenticating documents. Over the last many years, a large number of signature veri cation systems have been reported. A common assumption in nearly all of these system is that the signatures are available readily extracted from documents. In this paper we provide a detailed literature survey on the subject and argue that pre-extracted signatures are not always available especially in forensic cases. Furthermore, we present a novel system of automatically extracting signatures from documents with the help of hyper-spectral imaging. Initial experiments reveal that the proposed idea possess great potential to form a baseline signature extraction system above whom any signature veri cation system can be adjuncted for signature veri cation.
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Contributor : Philippe Simon <>
Submitted on : Monday, June 22, 2015 - 8:47:28 PM
Last modification on : Thursday, June 4, 2020 - 6:24:02 PM
Long-term archiving on: : Tuesday, September 15, 2015 - 7:57:30 PM


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  • HAL Id : hal-01165888, version 1



Muhammad Imran Malik, Sheraz Ahmed, Faisal Shafait, Ajmal Saeed Mian, Christian Nansen, et al.. Hyper-spectral Analysis for Automatic Signature Extraction. 17th Biennial Conference of the International Graphonomics Society, International Graphonomics Society (IGS); Université des Antilles (UA), Jun 2015, Pointe-à-Pitre, Guadeloupe. ⟨hal-01165888⟩



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