Handwritten signature recognition in mobile scenarios: Performance evaluation

Blanco-Gonzalo, Ramón; Miguel-Hurtado, Oscar; Mendaza-Ormaza, Aitor; Sánchez-Reillo, Raúl

doi:10.1109/ccst.2012.6393554

Cited by 20 publications

(14 citation statements)

References 3 publications

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“…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%

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: Training-verificationmentioning

confidence: 99%

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

Impedovo

Pirlo

2021

IEEE Trans. Emerg. Topics Comput.

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“…Blanco-Gonzalo et al [29] evaluated an ASV system based on dynamic time warping (DTW), on seven mobile devices (using stylus and finger): two Wacom tablets, a tactile laptop, a Samsung Galaxy Note, an iPad, a Samsung Galaxy Tab and a Blackberry Playbook. They confronted the system with different acquisition conditions, such as sensor technology, interoperability, visual feedback, and screen size.…”

Section: Related Workmentioning

confidence: 99%

“…A smartphone is usually handheld, while a tablet may be placed on the desktop or sustained by the left arm if the writer is right-handed. The consequence is that verification performance is strongly degraded in mobile conditions [2,15,16,[26][27][28][29][30][31][32][33][34][35][36][37][38][39].In the present paper, we study the online signature biometrics in the framework of uncontrolled mobile conditions. The challenging question then is how to improve verification performance in uncontrolled mobile conditions?…”

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confidence: 99%

Enhancing Security on Touch-Screen Sensors with Augmented Handwritten Signatures

Abazid

Houmani

Garcia-Salicetti

2020

Sensors

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We aim at enhancing personal identity security on mobile touch-screen sensors by augmenting handwritten signatures with specific additional information at the enrollment phase. Our former works on several available and private data sets acquired on different sensors demonstrated that there are different categories of signatures that emerge automatically with clustering techniques, based on an entropy-based data quality measure. The behavior of such categories is totally different when confronted to automatic verification systems in terms of vulnerability to attacks. In this paper, we propose a novel and original strategy to reinforce identity security by enhancing signature resistance to attacks, assessed per signature category, both in terms of data quality and verification performance. This strategy operates upstream from the verification system, at the sensor level, by enriching the information content of signatures with personal handwritten inputs of different types. We study this strategy on different signature types of 74 users, acquired in uncontrolled mobile conditions on a largely deployed mobile touch-screen sensor. Our analysis per writer category revealed that adding alphanumeric (date) and handwriting (place) information to the usual signature is the most powerful augmented signature type in terms of verification performance. The relative improvement for all user categories is of at least 93% compared to the usual signature.Sensors 2020, 20, 933 2 of 21 sensor technology, interoperability, setting several new challenging issues that impact verification performance [2,17].Usually, for improving verification performance, different strategies were exploited in the literature: (i) acquiring signatures in controlled conditions [1-16]; (ii) using a high quality sensor (such as a Wacom tablet) with high temporal and spatial resolution, and able to capture other time functions than pen coordinates, as pen pressure and pen inclination angles [18]; (iii) selecting reference signatures in order to control intra-personal variability [19][20][21]; (iv) extracting several features for signature description (as pressure, speed, and acceleration, etc.) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] or by means of a deep neural network [2,[22][23][24][25].However, some of these strategies are no longer possible in the mobile scenario: as pointed out by [17], the sensors are not of the same quality, in terms of temporal resolution in particular, acquisition conditions are highly variable, and some sensors are limited to the capture of only pen coordinates. In the so-called "cloud scenario" [17], users acquire their signatures as they want, standing, sitting or moving, handling the device on the hand at different angles or orientations, or placing it on any support. A smartphone is usually handheld, while a tablet may be placed on the desktop or sustained by the left arm if the writer is right-handed. The consequence is that verification performance is strongly degraded in mobile conditions [2,15,16,[26][27][2...

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“…In most of the works in the literature, the signature acquisition is done with specific devices, such as digitizer tablets. There are also a few works introducing smart phones and handwritten signature altogether [8]. Nevertheless, in our research the signature information is taken from common devices made not specially for signing but for typical smart phone functions, as well as the possibility of perform the signature with the finger tip instead using a stylus is introduced.…”

Section: Introductionmentioning

confidence: 99%

Usability analysis of a handwritten signature recognition system applied to mobile scenarios

Blanco-Gonzalo

Miguel-Hurtado

Sánchez-Reillo

et al. 2013

2013 47th International Carnahan Conference on Security Technology (ICCST)

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Along with the necessity to solve the problems due to the misuse of biometric systems and thus the consistent increase in the final products error rates, a usability evaluation on handwritten signature recognition was carried out. Furthermore, according to the popularity of mobile devices and the market trends, the evaluation was performed signing in mobile scenarios with smart phones, tablets and other common mobile devices. This study reveals interesting results correlating habituation and preferences with better or worst results and it shows the need of involve the user more incisively in the development of biometric solutions, not only for comfort issues but for better systems throughput

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Handwritten signature recognition in mobile scenarios: Performance evaluation

Cited by 20 publications

References 3 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

Enhancing Security on Touch-Screen Sensors with Augmented Handwritten Signatures

Usability analysis of a handwritten signature recognition system applied to mobile scenarios

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