Comparative analysis of off-line signature recognition

Dubey, Rahul; Agrawal, Dheeraj

doi:10.1109/iccict.2012.6398093

Cited by 3 publications

(1 citation statement)

References 20 publications

(14 reference statements)

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“…Offline signature verification system is required to accomplish a series of operation for getting authentic results [12]. The major verification steps are shown in Fig.1 and discussed briefly about these steps.…”

Section: Offline Signature Verification Processesmentioning

confidence: 99%

An evaluation on offline signature verification using artificial neural network approach

Khalifa

Alam

Abdalla

2013

2013 International Conference on Computing, Electrical and Electronic Engineering (Icceee)

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The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology. It offers two different types of schemes those are offline and online method. The offline technique means to verify a signature written on paper which is scanned to convert it into a digital image, whereas the online system required an online device such as Tablet PC, touch screen monitor by a pressure sensitive pen to verify the signature. This paper discusses a review of offline signature verification schemes which considered as a highly secured technique to recognize the genuine person's identity. It addresses the offline signature verification technique using Artificial Neural Network (ANN) approach. It also explains the fundamental characteristics of offline signature verification processes and highlights the comparison among various offline signature verification approaches and various signature recognition issues.

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Section: Offline Signature Verification Processesmentioning

confidence: 99%