Hand Biometrics in Mobile Devices

Santos-Sierra, Alberto de; Ávila, Carmen Sánchez; Guerra-Casanova, Javier; Mendaza-Ormaza, Aitor

doi:10.5772/21247

Cited by 4 publications

(2 citation statements)

References 42 publications

(32 reference statements)

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“…The results show that their success rate is 94% and needs 1.6 seconds in worst cases. [10] In 2011 hand geometry was used in [12]. It is important to state that the hand geometry is not unique and is not suitable to be used as password in vital systems like bank applications.…”

Section: Biometric Authentication Systemsmentioning

confidence: 99%

Mobile phone security using automatic lip reading

Lesani

Ghazvini

Dianat

2015

2015 9th International Conference on E-Commerce in Developing Countries: With Focus on E-Business (ECDC)

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During the recent years mobile phones' usage and their application in the everyday life has increased dramatically. Therefore the modern methods of security in mobile phone applications are highly regarded especially in mobile banking applications. In this paper, a novel security method is introduced in which a password is received using visual information processing from the user's lips. Phone Camera can provide the ability to track user's lip motion using lip reading algorithms to recognize the security words like passwords. Mobility in mobile phones has led to a change in ambient light. In this research, a method has been proposed to solve light change challenges in mobile phones. Finally an m-commerce android application is designed and implemented using this technique. The application recognizes passwords using automatic lip reading and checks whether the password is correct or not. If password is correct, the user can open his/her bank application. The reliability of this method is evaluated comparing with the traditional method of password protection in mobile phones.

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Section: Biometric Authentication Systemsmentioning

confidence: 99%

Mobile phone security using automatic lip reading

Lesani

Ghazvini

Dianat

2015

2015 9th International Conference on E-Commerce in Developing Countries: With Focus on E-Business (ECDC)

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“…There is a great benefit of implementing and using smart phone VPN clients for an enterprise, as they guarantee a connectionless mobility of smart phones for mobile workers. In [8], the authors focused on hand biometrics applied to images captured from a mobile device. The system was able to identify individuals based on features extracted from hand pictures, those pictures were obtained with a low-quality camera embedded on a mobile device.…”

Section: Related Workmentioning

confidence: 99%

Touchscreen patterns based authentication approach for smart phones

ElMenshawy

2015

2015 Science and Information Conference (SAI)

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recently, smart phones have been used not only for communication, but also for, storing confidential and business information. As a result, the theft or hacking of a mobile phone can lead to disastrous implications, such as intrusion of privacy and monetary loss. In this paper, the application of different biometric features for authentication in smart phones is presented. Also, the differences between various touchscreen patterns in terms of data capturing and template creation are shown. In the experiments, device orientation and speed are used to present the effectiveness and efficiency of using biometrics for authentication in smart phones. Two applications were implemented to collect the different biometric features. After that, kmeans clustering technique was applied on the collected data and the accuracy was measured. The main conclusion is that biometrics related to touch behavior is feasible to authenticate users.

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