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Atm Card Security With Contrast Control Techniques

Authors: Mridul Shukla*1 & Prof. Ranjeet Kumar Rout2;

Atm Card Security With Contrast Control Techniques

Abstract

These days research is going in the field of crime avoidance and detection in ATM.But till now there is no good technology has came in the field of ATM that can avoid these crimes. So the idea of making this project has comed from my observation of life incidents happening in the world. So to provide some security measures for ATM transactions is what is the purpose of the project.In this project, I will analyze various facial & emotional features using various algorithms.The machine will only work if the expressions and emotions are normal and there is no sign of forced usage or any other illicit activity.Image processing technology concentrates on the development of data extraction techniques applied toward the statistical classification of visual imagery.At first,we will check that only single person is trying to access the Atm machine,if a person is entering in group then access will not be provided, and then we will recognize the emotions and expressions of a person,if they are found to be tensed or nervous,then we will send a sms alert to the guard outside the Atm machine.

Keywords

Machine Learning, Digital Image Processing, emotion recognition.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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