A Preliminary Study on Various Off-line Hand Written Signature Verification Approaches

Arya, Meenakshi S.; Inamdar, Vandana

doi:10.5120/199-338

Cited by 14 publications

(5 citation statements)

References 36 publications

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“…They have also been identified as the most natural and socially acceptable way of identifying an individual. Unlike physiological biometrics where direct physical contact is required, measurement of signatures is noninvasive and so reduces undesirable health implications [6,7]. Signatures are widely used to identify individuals in different application domains such as education, legal, finance, security, and business.…”

Section: Introductionmentioning

confidence: 99%

A Clustering-based Offline Signature Verification System for Managing Lecture Attendance

Adama¹,

Salami²

2017

IJITCS

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Attendance management in the classroom is important because in many educational institutions, sufficient number of class attendance is a requirement for earning a regular grade in a course. Automatic signature verification is an active research area from both scientific and commercial points of view as signatures are the most legally and socially acceptable means of identification and authorization of an individual. Different approaches have been developed to achieve accurate verification of signatures. This paper proposes a novel automatic lecture attendance verification system based on unsupervised learning. Here, lecture attendance verification is addressed as an offline signature verification problem since signatures are recorded offline on lecture attendance sheets. The system involved three major phases: preprocessing, feature extraction and verification phases. In the feature extraction phase, a novel set of features based on distribution of black pixels along columns of signatures images is also proposed. A mean square error of 0.96 was achieved when the system was used to predict the number of times students attended lectures for a given course.

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Section: Introductionmentioning

confidence: 99%

A Clustering-based Offline Signature Verification System for Managing Lecture Attendance

Adama¹,

Salami²

2017

IJITCS

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“…DTW algorithm is used for the measurement of speed and time of two sequences [2]. DTW algorithm can be applied to video, audio, and graphics, and many different applications such as automatic speech recognition.…”

Section: Approaches For Signature Verificationmentioning

confidence: 99%

Automatic Signature Verification With Chain Code Using Weighted Distance and Euclidean Distance - A Review

Deshmukh¹

2016

IJRET

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The signature forgery can be restricted by either online or offline signature verification techniques. It verifies the signature by performing a match with the pre-processed signature dynamically by detecting the motion of stylus during signature while on other hand, offline verifies by performing a match using the two dimensional scanned image of the signature. This paper studies about the various techniques available in offline signature verification along with their shadows.

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“…Features extracted for off-line signature verification can be broadly divided into three main categories [20]:…”

Section: Feature Extractionmentioning

confidence: 99%

An Efficient Offline Signature Verification System

Arathi¹,

Govardhan²

2014

IJMLC

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Abstract-Offline signature verification is one of most challenging area of pattern recognition. Many methods have been introduced in literature to find whether a given signature is genuine or forgery. In the proposed work, the signature image is converted into time series data using linear scanning method and then time series shapelets are identified to distinguish genuine signatures from forged ones. The shapelets are time series subsequences which are maximally representative of a class. To compare the time series data, the proposed method uses Mahalanobis distance measure. The experimental results show that the method has great reduction in equal error rate.

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A Preliminary Study on Various Off-line Hand Written Signature Verification Approaches

Cited by 14 publications

References 36 publications

A Clustering-based Offline Signature Verification System for Managing Lecture Attendance

A Clustering-based Offline Signature Verification System for Managing Lecture Attendance

Automatic Signature Verification With Chain Code Using Weighted Distance and Euclidean Distance - A Review

An Efficient Offline Signature Verification System

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