SVC2004: First International Signature Verification Competition

Yeung, Dit–Yan; Chang, Hong; Xiong, Yimin; George, Susan E.; Kashi, Ramanujan S.; Matsumoto, Takashi; Rigoll, Gerhard

doi:10.1007/978-3-540-25948-0_3

Cited by 348 publications

(276 citation statements)

References 6 publications

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“…Existing technology evaluations have not been aimed to study the effects of time variability in signature and writer recognition [16,17]. The results of this paper highlight the importance of this phenomenon and encourage its consideration in future technology benchmarks, e.g.…”

Section: Resultsmentioning

confidence: 90%

Impact of time variability in off-line writer identification and verification

Alonso‐Fernandez

Fiérrez

Gilperez

et al. 2009

2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis

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Section: Resultsmentioning

confidence: 90%

Impact of time variability in off-line writer identification and verification

Alonso‐Fernandez

Fiérrez

Gilperez

et al. 2009

2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis

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“…The public database SVC2004 [15] † task 2 was used for performance evaluation. Signatures associated with 40 persons in SVC are open to the public, and 20 genuine signatures for each person are available.…”

Section: Database and Experimental Settingsmentioning

confidence: 99%

“…Online signature verification is an automatic biometric person authentication method that uses data obtained while a signature is being written. This method has been extensively studied [16]- [20] and several compatitions were held [15], [21]- [23].…”

Section: Basic Online Signature Verification Algorithmmentioning

confidence: 99%

“…Experiments were performed using a public online signature database, SVC2004 [15]. Experimental results show that the proposed algorithm had improved performance against hill-climbing forged data attacks.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we propose a countermeasure against offline hill-climbing attacks for online signature verification. A robust online signature verification algorithm against such attacks was implemented by incorporating a hill-climbing algorithm into a verification algorithm.Experiments were performed using a public online signature database, SVC2004 [15]. Experimental results show that the proposed algorithm had improved performance against hill-climbing forged data attacks.…”

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confidence: 99%

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Hill-Climbing Attacks and Robust Online Signature Verification Algorithm against Hill-Climbing Attacks

Muramatsu

2010

IEICE Trans. Inf. & Syst.

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SUMMARYAttacks using hill-climbing methods have been reported as a vulnerability of biometric authentication systems. In this paper, we propose a robust online signature verification algorithm against such attacks. Specifically, the attack considered in this paper is a hill-climbing forged data attack. Artificial forgeries are generated offline by using the hill-climbing method, and the forgeries are input to a target system to be attacked. In this paper, we analyze the menace of hill-climbing forged data attacks using six types of hill-climbing forged data and propose a robust algorithm by incorporating the hill-climbing method into an online signature verification algorithm. Experiments to evaluate the proposed system were performed using a public online signature database. The proposed algorithm showed improved performance against this kind of attack. key words: hill-climbing attack, online signature verification, biometrics, vulnerability, offline attack IntroductionBiometric person authentication technologies are becoming more important in the drive to ensure security. These technologies are being actively studied, and some of them are being used in real situations. However, several vulnerabilities have been reported [1], [2], including a hill-climbing attack [3]. Hill-climbing attacks against biometric systems of several modalities, such as face [4]- [7], fingerprints [8], [9], and online signatures [10], [11] have been reported.There are two types of hill-climbing attack: 1. Online hill-climbing attack: Attackers access the targeted biometric system directly and attack it repeatedly [4]- [11]. 2. Offline hill-climbing attack (hill-climbing forged data attack): Attackers repeatedly access a physically different biometric system from the targeted biometric system and generate hill-climbing forged data. Then, the forged data is input to the targeted biometric system. Several countermeasures against online attacks have been reported, for example, limiting the number of sequential attempts [3], score transformation [12], and so on. Also, a parameter-updating method [13], [14] is one possible solution. However, these measures are not useful against an offline attack because attackers do not need to access the targeted biometric system repeatedly; rather, they input forged data to the targeted biometric system only once. Thus, different countermeasures are necessary against an offline at- tack. However, no useful countermeasures for any type of modality have been proposed. In this paper, we propose a countermeasure against offline hill-climbing attacks for online signature verification. A robust online signature verification algorithm against such attacks was implemented by incorporating a hill-climbing algorithm into a verification algorithm.Experiments were performed using a public online signature database, SVC2004 [15]. Experimental results show that the proposed algorithm had improved performance against hill-climbing forged data attacks.We first describe a basic online signature verification algorithm in S...

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Cardioids‐based faster authentication and diagnosis of remote cardiovascular patients

Sufi

Khalil

Habib

2011

Security Comm Networks

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In recent times, dealing with deaths associated with cardiovascular diseases (CVD) has been one of the most challenging issues. The usage of mobile phones and portable Electrocardiogram (ECG) acquisition devices can mitigate the risks associated with CVD by providing faster patient diagnosis and patient care. The existing technologies entail delay in patient authentication and diagnosis. However, for the cardiologists minimizing the delay between a possible CVD symptom and patient care is crucial, as this has a proven impact in the longevity of the patient. Therefore, every seconds counts in terms of patient authentication and diagnosis. In this paper, we introduce the concept of Cardioid based patient authentication and diagnosis. According to our experimentations, the authentication time can be reduced from 30.64 s (manual authentication in novice mobile user) to 0.4398 s (automated authentication). Our ECG based patient authentication mechanism is up to 4878 times faster than conventional biometrics like, face recognition. The diagnosis time could be improved from several minutes to less than 0.5 s (cardioid display on a single screen). Therefore, with our presented mission critical alerting mechanism on wireless devices, minute's worth of tasks can be reduced to second's, without compromising the accuracy of authentication and quality of diagnosis.

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SVC2004: First International Signature Verification Competition

Cited by 348 publications

References 6 publications

Impact of time variability in off-line writer identification and verification

Impact of time variability in off-line writer identification and verification

Hill-Climbing Attacks and Robust Online Signature Verification Algorithm against Hill-Climbing Attacks

Cardioids‐based faster authentication and diagnosis of remote cardiovascular patients

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