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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download

https://hal.univ-antilles.fr/hal-01165888
Contributor : Philippe Simon <>
Submitted on : Monday, June 22, 2015 - 8:47:28 PM
Last modification on : Thursday, May 2, 2019 - 2:16:11 PM
Long-term archiving on: Tuesday, September 15, 2015 - 7:57:30 PM

File

IGS_2015_submission_18.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01165888, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

278

Files downloads

1261