On-line and off-line signature verification using relative slope algorithm

Srinivas, V. Sesha; Bhaskaran, Subhashini Sailesh; Balasubramanian, M.

doi:10.1109/mshs.2005.1502546

Cited by 15 publications

(12 citation statements)

References 7 publications

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“…It is includes the number of strokes, the overall speed of the signature, on how the stylus pressure at each point, and to make the signature more unique and difficult to forge [6,7].…”

Section: I) How Signature Authentication Workmentioning

confidence: 99%

Folder Lock by Using Multimodal Biometric: Fingerprint and Signature Authentication

Abdullah¹,

Hamid²

2015

2015 Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic (CyberSec)

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Lock folder is one of method that used to ensure nobody intentionally gets access to your private and confidential information. Presently used password based systems have a number of associated inconveniences and problems such as user needs to remember passwords, passwords can be guessed or broken down via brute force and also there is problem of non-repudiation.. Besides, password authentication method as a keyword permission to access something is breakable. Hence, it can be leaked out and cracked by using any methods such as dictionary attack, or social engineering. Due to the drawback, this method is lack of universality of some characteristics and the recognition performance of the systems is upper limit and it is unacceptable error rates for the single modal authentication system. Multimodal biometric can be at least combination of two types of any physical or behavioral biometric as it applies in the system that has been developed. Therefore, a system is proposed to overcome the aforementioned problems by adding multimodal biometric authentication will provide another layer of security. Those problems encountered have being overcome and it is proven that by adding another layer of security as the authentication is more secure. It has been proved and has been tested that using combination of two biometric methods; fingerprint and signature as an authentication method is more secure and reliable.

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“…It is includes the number of strokes, the overall speed of the signature, on how the stylus pressure at each point, and to make the signature more unique and difficult to forge [6,7].…”

Section: I) How Signature Authentication Workmentioning

confidence: 99%

Folder Lock by Using Multimodal Biometric: Fingerprint and Signature Authentication

Abdullah¹,

Hamid²

2015

2015 Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic (CyberSec)

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“…Signature verification has been a topic of intensive research during the past several years [1][2][3][4][5][6][7][8] due to an important role it plays in numerous areas including the financial system. The verification of human signatures is particularly concerned with the improvement of the interface between human beings and computers [2].…”

Section: Introductionmentioning

confidence: 99%

“…The verification of human signatures is particularly concerned with the improvement of the interface between human beings and computers [2]. A signature verification system and the associated techniques used to solve the inherent problems of authentication can be divided into two classes [3]: (a) on-line methods [4] to measure temporal and sequential data by utilizing intelligent algorithms [5] and (b) off-line methods [6] that use an optical scanner to obtain handwriting data written on paper. Off-line signature verification deals with the verification of signatures, which appear in a static format [7].…”

Section: Introductionmentioning

confidence: 99%

Hindi and English Off-line Signature Identification and Verification

Pal

Blumenstein

2013

Advances in Intelligent Systems and Computing

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Biometric systems play a significant role in the field of information security as they are extremely required for user authentication. Signature identification and verification have a great importance for authentication intention. The purpose of this paper is to present an empirical contribution towards the understanding of multi-script (Hindi and English) signature verification. This system will identify whether a claimed signature belongs to the group of English signatures or Hindi signatures from a combined Hindi and English signature datasets and then it will verify signatures using these two resultant signature datasets (Hindi script signature and English script signatures) separately. The modified gradient feature and SVM classifier were employed for identification and verification purposes. To the best of authors' knowledge, the multi-script signature identification and verification has never been used for the task of signature verification and this is the first report of using Hindi and English signatures in this area. Two different results for identification and verification are calculated and analysed. The accuracy of 98.05% is obtained for the identification of signature script using 2160 (1080 Hindi + 1080 English) samples for training and 1080 (540 Hindi + 540 English) samples for testing. The resultant data sets obtained in script identification of signatures were used for verification purpose. The FRR, FAR for Hindi and English was obtained 8.0%, 4.0% and 12.0%, 10.0% respectively.

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“…The verification of human signatures is particularly concerned with the improvement of the interface between humanbeings and computers [2]. A signature verification system and the associated techniques used to solve the inherent problems of authentication can be divided into two classes [3]: (a) on-line methods [4] to measure temporal and sequential data by utilizing intelligent algorithms [5] and (b) off-line methods [6] that use an optical scanner to obtain handwriting data written on paper. Off-line signature verification deals with the verification of signatures, which appear in a static format [7].…”

Section: Introductionmentioning

confidence: 99%

Off-Line Bangla Signature Verification

Pal

Nguyen

Blumenstein

et al. 2012

2012 10th IAPR International Workshop on Document Analysis Systems

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In the field of information security, biometric systems play an important role. Within biometrics, automatic signature identification and verification has been a strong research area because of the social and legal acceptance and extensive use of the written signature as an individual authentication. Signature verification is a process in which the questioned signature is examined in detail in order to determine whether it belongs to the claimed person or not. Despite substantial research in the field of signature verification involving Western signatures, very few works have been dedicated to non-Western signatures such as Chinese, Japanese, Arabic, or Persian etc. In this paper, the performance of an off-line signature verification system involving Bangla signatures, whose style is distinct from Western scripts, was investigated. The Gaussian Grid feature extraction technique was employed for feature extraction and Support Vector Machines (SVMs) were considered for classification. The Bangla signature database employed in the experiments consisted of 3000 forgeries and 2400 genuine signatures. An encouraging accuracy of 90.4% was obtained from the experiments.

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On-line and off-line signature verification using relative slope algorithm

Cited by 15 publications

References 7 publications

Folder Lock by Using Multimodal Biometric: Fingerprint and Signature Authentication

Folder Lock by Using Multimodal Biometric: Fingerprint and Signature Authentication

Hindi and English Off-line Signature Identification and Verification

Off-Line Bangla Signature Verification

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