International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

An Analytical Study on the Face Anti-Spoofing

Author : Indu ¹

Date of Publication :25th January 2017

Abstract: Client verification is a significant advancement to secure data and in this respect face biometrics is beneficial. Face biometrics is characteristic, simple to utilize, less human-intrusive. Tragically, ongoing work uncovered that face biometrics is not very helpful against parodying attacks. This part displays the various modalities of attacks to visual range face recognition system. Datasets are opened for the assessment of weakness of recognition system and execution of counter-measures. At long last, a complete perspective was assembled for visual range face recognition and give a viewpoint of issues that stay unaddressed. Biometric parodying is a developing concern as biometric attributes are defenceless against attacks. Biometric parodying is the capacity to trick a biometric system into perceiving a phony client as a certifiable client by methods for showing a synthetically forged version of the first biometric attribute to the sensor. Explicit countermeasures that permit biometric system to identify counterfeit leftovers and to dismiss them should be created. This current paper's principle objective is to give a review of various anti-spoofing systems utilized in the now rising field of anti-spoofing with unique thoughtfulness regarding face methodology

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16. V.M.Prabhakaran, Prof.S.Balamurugan, S.Charanyaa," Investigations on Remote Virtual Machine to Secure Lifetime PHR in Cloud ", International Journal of Innovative Research in Computer and Communication Engineering Vol 2, Issue 10, October 2014
17. V.M.Prabhakaran, Prof.S.Balamurugan, S.Charanyaa," Privacy Preserving Personal Health Care Data in Cloud”, International Advanced Research Journal in Science, Engineering and Technology Vol 1, Issue 2, October 2014