Persian Signature Verification Based on Fractal Dimension Using Testing Hypothesis

Foroozandeh, Atefeh; Akbari, Younes; Jalili, Mohammad; Sadri, Javad

doi:10.1109/icfhr.2012.254

Cited by 8 publications

(4 citation statements)

References 12 publications

(12 reference statements)

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“…Number of strokes/lognormals [83,248], * mathematical transformations (Wavelet [98,200,202,203], * Radon [268], * fractal [84], ** or others like total number, mean, and maximum of intra-/interstroke intersections, the number of x-axes, zero-crossings and the signature length [81,91,93,154,202,246,250]*), symbolic representation [7], * code vectors [234], * Sigma-lognormal based [83,102], * ...…”

Section: -Global Parametersmentioning

confidence: 99%

“…In [139], the authors used deep learning, i.e., CNN, to conduct the random forgery experiment. Additionally, a method based on estimating fractal dimensions of Persian offline signatures can be seen in [84]. More recently, authors propose to use geometrical features based on fixed-point arithmetic followed by an SVM as a classifier in [241].…”

Section: Persian Signature Verificationmentioning

confidence: 99%

See 1 more Smart Citation

A Perspective Analysis of Handwritten Signature Technology

Diaz¹,

et al. 2019

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Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, having as its main reference the application of automatic signature verification, as previously published reviews in 1989, 2000, and 2008 bear witness. Ever since, and over the last 10 years, the application of handwritten signature technology has strongly evolved and much research has focused on the possibility of applying systems based on handwritten signature analysis and processing to a multitude of new fields. After several years of haphazard growth of this research area, it is time to assess its current developments for their applicability in order to draw a structured way forward. This perspective reports a systematic review of the last 10 years of the literature on handwritten signatures with respect to the new scenario, focusing on the most promising domains of research and trying to elicit possible future research directions in this subject. CCS Concepts: • General and reference → Surveys and overviews; • Security and privacy → Biometrics; Access control; • Theory of computation → Pattern matching; • Applied computing → Document analysis; System forensics;

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Section: -Global Parametersmentioning

confidence: 99%

Section: Persian Signature Verificationmentioning

confidence: 99%

A Perspective Analysis of Handwritten Signature Technology

Diaz¹,

et al. 2019

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“…Signature database were generally composited by western. Meanwhile, about signature recognition and verification research are mostly based on Latin [10], Chinese [11] and Arabic [12] handwritten signature and other languages, but one of them related with Uyghur handwritten signature. A lot of research has been carried out in Uyghur handwritten signature recognition [13,14] and verification [15].…”

Section: E Cedar Databasementioning

confidence: 99%

Creation of Uyghur Off-Line Handwritten Signature Database

Yimin¹,

Gheni²,

Mahpirat³

et al. 2016

Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

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Until now, there has not been any major international effort that aims at comparing different signature verification methods systematically. However, most of the disclosed handwritten signature database is based on Latin, Chinese, Arabic and other languages. So creation of Uyghur off-line signature database plays very important role in estimating and comparing research results that was achieved by different groups of researcher. In this paper, the signature samples are collected by different age's people. For off-line Uyghur signature recognition and verification research, there are 500 persons genuine signature. (20 samples of each person), 185 persons simple forgery signature and skilled forgery signature (20 samples of each person), in total 17400 signature samples were collected. Each handwriting signature samples is scanned, stored with bmp file, and pre-processed (such as graying, noise reduction and binarization etc).The Uyghur signatures database very useful for designing a signature recognition and verification system that is optimized to verify Uyghur signatures.

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“…Atefeh Foroozandeh et al [8] developed a new method for verifying off-line Persian signatures with extracted Fractal Dimension (FD) of signatures images as a features. The system has been tested with 1000 genuine signatures and 200 skilled forgeries that have been collected from a population of 100 human subjects with different person.…”

Section: Non-western Off-line Signature Verification Techniquesmentioning

confidence: 99%

Non-Western Script Based Off-Line Handwritten Signature Technology: A Survey

Ubul

Ablikim

Yadikar

et al. 2014

AMM

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Recognition and verification systems plays very critical role in the area of information security as they are very essential to user certification. In resent years, off-line signature recognition and verification receiving renewed interest and only one of several techniques used to verify the identities of individuals, also that one of the biometric techniques. Signatures offer a secure means for confirmation and authorization in legal documents. Thus, nowadays the signature identification and verification becomes an indispensable part for including embedded signatures of automating the rapid processing of documents. Researchers have been proposed various approaches for handwritten signature recognition and verification in the past years. This paper presents a survey for non-western handwritten signature based offline signature verification and identification. In this area, the accuracy rates obtained so far from the available systems is not sufficiently high, and more researches on off-line signature verification as well as off-line signature identification are required.

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Persian Signature Verification Based on Fractal Dimension Using Testing Hypothesis

Cited by 8 publications

References 12 publications

A Perspective Analysis of Handwritten Signature Technology

A Perspective Analysis of Handwritten Signature Technology

Creation of Uyghur Off-Line Handwritten Signature Database

Non-Western Script Based Off-Line Handwritten Signature Technology: A Survey

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