Automatic Handwritten Signature Verification System for Australian Passports (original) (raw)

AN INSPECTION ON OFFLINE SIGNATURE AUTHENTICATION

In the era of emergent technology, security is that the foremost anxiety to avoid replicas and counterfeits. There are diverse Biometric systems that enable in personal identification, amongst those verification systems, one system is Signature Verification System. Signatures are substantiated discrimination on-line and offline systems. Every human being has their own writing style and hence their signature is used in the financial domain for identity verification. So it is necessary to develop a technique which is efficient in verifying the Handwritten Signature is correct or forge. This paper describes the consequence of offline systems the survey of numerous methods related to offline signature verification systems.

1 Performance Considerations in Implementing Offline Signature Verification System

2016

Handwritten signatures are widely accepted as a means of document authentication, authorization and personal verification. In modern society where fraud is rampant, there is the need for an automatic Handwritten Signature Verification (HSV) system to complement visual verification. An implementation is a realization of a technical specification or algorithm as a program, software component, or other computer system through programming and deployment. Many approaches are possible to the implementation of a signature verification system [1, 2]. This paper highlights the key performance considerations when planning the implementation of a signature verification system.

An Appraisal of Off-line Signature Verification Techniques

Biometrics is being commonly used nowadays for the identification and verification of humans everywhere in the world. In biometrics humans unique characteristics like palm, fingerprints, iris etc. are being used. Pattern Recognition and image processing are the major areas where research on signature verification is carried out. Hand written Signature of an individual is also unique and for identification of humans are being used and accepted specially in the banking and other financial transactions. The hand written signatures due to its importance are at target of fraudulence. In this paper we have surveyed different papers on techniques that are currently used for the identification and verification of Offline signatures.

A general approach to off-line signature verification

WSEAS Transactions on Computers, 2008

Although automatic off-line signature verification has been extensively studied in the last three decades, there are still a huge number of open questions and even the best systems are still struggling to get better error rates than 5%. This paper targets some of the weak spots of the research area, which are comparability, measurability and interoperability of different signature verification systems. After delivering an overview of some of the main research directions, this paper proposes a generic representation of signature verifiers. In the first part of the paper it is shown how existing verification systems compare to the generic model, detailing the differences and their resolutions. In the second part a signature verification framework is introduced, which was created based on the generic model. It is demonstrated how existing algorithms and even an existing signature verifier can be modularized and modified to allow an execution through the framework. Finally the benefits of the model are outlined including the unified benchmarking, comparability of different systems and the support for distributed software architectures like SOA.

Automatic Signature Verification: The State of the Art

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2000

... which combine online and offline information for handwritten signature verification. The online reference signature, acquired through a digitizing tablet, serves for the preprocessing of the corresponding scanned offline signature image. This kind of hy-brid system is well suited ...

An Automatic Offline Signature and Forgery Detection System

This chapter presents an offline signature verification and forgery detection system based on fuzzy modelling. The various handwritten signature characteristics and features are first studied and encapsulated to devise a robust verification system. The verification of genuine signatures and detection of forgeries is achieved via angle features extracted using a grid method. The derived features are fuzzified by an exponential membership function, which is modified to include two structural parameters. The structural parameters are devised to take account of possible variations due to handwriting styles and to reflect other factors affecting the scripting of a signature. The efficacy of the proposed system is tested on a large database of signatures comprising over 1200 signature images obtained from 40 volunteers. J Average J Maximum J Average J Maximum J 1

Automatic Static Signature Verification Systems: A Review

Handwritten signature is a distinguishing biometric feature which is the most widely employed form of secure personal authentication. Signature verification is used in a large number of fields starting from online banking, passport verification systems to even authenticating candidates in public examinations from their signatures. Even today thousands of financial and business transactions are being authorized via signatures. Therefore an automatic signature verification system is needed. This paper represents a brief review on various approaches used in Static signature verification systems.

ONLINE AND OFFLINE SIGNATURE VERIFICATION WITH PERFORMANCE EVALUATION

Trans Stellar Journals, 2021

In a variety of applications online and offline signature is being used. Signature of an individual is unique because each person signature has different physical and behavioural characteristics. But when a person duplicates our signature and misuses our signature then the problem arises. To differentiate and identified whether the given signature is by the concerned person or a forgery is the objective of the signature verification and identification system. Online and Offline signature verification and identification is a prominent area for research work. For online signature, it requires a special electronic signing device which gives data such as pen position, altitude angle and pen pressure at each and every step. Offline signature data was collected through images of scanned signatures. In this paper, we discuss what are the different techniques available for both online and offline signature verification and identification, steps to process signature verification and performance evaluation.

Improved Offline Signature Verification

Abstractʊ Research in efficient automated solutions for signature verification has increased in recent years. In this paper we present a parallel computation method for off-line signature verification. A signature image is divided into some blocks. Individual threads will work on each block. The approach is based on feature extraction of every block derived from the image. Every block is represented by a set of features like number of pixels in each block, block-center and distance from the image center. Each type feature has a different impact for assigning some weightage to a block. Experimental result shows that the method eliminates random and simple forgeries and also reduces skilled forgery to a great extent.