A survey of smartphone-based Face Recognition systems for Security Purposes | ||||
| Kafrelsheikh Journal of Information Sciences | ||||
| Article 2, Volume 2, Issue 1, August 2021, Page 1-7 PDF (656.2 K) | ||||
| Document Type: Survey Article | ||||
| DOI: 10.21608/kjis.2021.5484.1006 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Atrab Ahmed AbdElaziz 
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| Information Technology. faculty of computers and information, kafelsheikh university , kafrelsheikh, egypt | ||||
| Abstract | ||||
| Abstract: Smart devices, such as smartphones and tablets, are frequently used to store and send confidential and private information. The disadvantages of traditional methods of recognition have led researchers to explore biometrics to obtain accurate and convenient security of mobile devices, taking advantage of image detection technologies that capture environmental, positional and interactive information. The face is our main focus of concentration and represents an important role in the transmission of identity and emotions. In this paper, face recognition biometric researches to mobile device security are surveyed. The discussion of various feature extractions algorithms, along with the advantages and research challenges associated with face modality have reviewed.Abstract: Smart devices, such as smartphones and tablets, are frequently used to store and send confidential and private information. The disadvantages of traditional methods of recognition have led researchers to explore biometrics to obtain accurate and convenient security of mobile devices, taking advantage of image detection technologies that capture environmental, positional and interactive information. The face is our main focus of concentration and represents an important role in the transmission of identity and emotions. In this paper, face recognition biometric researches to mobile device security are surveyed. The discussion of various feature extractions algorithms, along with the advantages and research challenges associated with face modality have reviewed. | ||||
| Keywords | ||||
| security; face recognition; smartphones; biometrics | ||||
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