Analysis of handwritten signature performances using mobile devices

Mendaza-Ormaza, Aitor; Miguel-Hurtado, Oscar; Blanco-Gonzalo, Ramón; Diez-Jimeno, Francisco-Jose

doi:10.1109/ccst.2011.6095930

Cited by 13 publications

(7 citation statements)

References 7 publications

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“…The dynamic signature data is generally acquired using devices like digitizing tablets or through the touch screen technologies provided on Tablet PCs, PDAs or smartphones. The dominant attributes captured in the mobile scenario are X and Y pen positions and their timestamps [37] [49], [56], [57], [58]. On the other hand, specifically devoted pads are able to acquire a wider set of data than the pen trajectory, namely pen orientation (azimuth and altitude) and pen pressure.…”

Section: A Data Acquisition and Preprocessingmentioning

confidence: 99%

“…The most used in the cloudmobile scenario are reported in table I. [6], [8], [9], [11], [15], [32], [49], [56], [57], [91], [93], [94], [97] Model based ANN [106] HMM/GMM [6], [19], [26], [35], [55], [92] SVM [57], [58], [87], [90] Distance-based approaches provide the verification response based on the distance between the test signature and one or more reference signatures. Model-based approaches verify the test signature by estimating fitness on the signature reference model of the user.…”

Section: Training-verificationmentioning

confidence: 99%

“…The most part of smartphones and tablets currently available is not provided with a stylus; even if some object could be used and/or adopted to the aim (based on screen technology), it is clear that a pen with a rigid thin tip is desirable for improving the user experience and comfort [57]. However, the instinctive solution in absence of stylus is the use of a finger [11], [81].…”

Section: A Accessibility and Usabilitymentioning

confidence: 99%

“…Performance evaluation is a crucial point, in fact error rates in the mobile cloud scenario are significantly higher than the one observed in end-to-end solutions [35], [36], [37] [56], [57], [106], [5]. Table V summarizes performances of some of the most relevant approaches discussed in the following.…”

Section: Performance Evaluationmentioning

confidence: 99%

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Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Impedovo

Pirlo

2021

IEEE Trans. Emerg. Topics Comput.

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On-line signature verification is typically carried out with the use of digitizing tablets specifically designed for the aim. So far, stand-alone systems have been mainly inspected, but the current distributed/cloud scenario and the amount of mobile devices in everyday life is calling for a new challenge. Within this scenario, signatures are acquired around the world with different kinds of devices and processed on multiple platforms in order to be verified. Through the paper, the different phases of the signature verification process in the new scenario are presented and the most valuable results are discussed considering the following aspects: accessibility and usability, interoperability, security and performance. Achievements as well as weakness are focused in order to highlight promising directions for further research and technology development.

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Section: A Data Acquisition and Preprocessingmentioning

confidence: 99%

Section: Training-verificationmentioning

confidence: 99%

Section: A Accessibility and Usabilitymentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

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Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Impedovo

Pirlo

2021

IEEE Trans. Emerg. Topics Comput.

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“…Online handwritten signature verification on mobile devices such as [26,27] relates to the something-you-know paradigm as well. In such a system, a user uses a stylus to write a handwritten signature on the touchscreen, which is then captured and compared with a template on the device.…”

Section: Related Workmentioning

confidence: 99%

TouchIn: Sightless two-factor authentication on multi-touch mobile devices

Sun

Zhang

et al. 2014

2014 IEEE Conference on Communications and Network Security

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Mobile authentication is indispensable for preventing unauthorized access to multi-touch mobile devices. Existing mobile authentication techniques are often cumbersome to use and also vulnerable to shoulder-surfing and smudge attacks. This paper focuses on designing, implementing, and evaluating TouchIn, a two-factor authentication system on multitouch mobile devices. TouchIn works by letting a user draw on the touchscreen with one or multiple fingers to unlock his mobile device, and the user is authenticated based on the geometric properties of his drawn curves as well as his behavioral and physiological characteristics. TouchIn allows the user to draw on arbitrary regions on the touchscreen without looking at it. This nice sightless feature makes TouchIn very easy to use and also robust to shoulder-surfing and smudge attacks. Comprehensive experiments on Android devices confirm the high security and usability of TouchIn.

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Offline Signature Recognition Using Centroids of Local Binary Vectors

Kamal

George

2018

Communications in Computer and Information Science

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Analysis of handwritten signature performances using mobile devices

Cited by 13 publications

References 7 publications

Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

TouchIn: Sightless two-factor authentication on multi-touch mobile devices

Offline Signature Recognition Using Centroids of Local Binary Vectors

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