Journal of Information Technology & Software Engineering
Open Access

Department of Electronics and Telecommunication Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India

Publications

• Research Article   
  Card less ATM Using Deep Learning and Facial Recognition Features
  Author(s): Sahil Bajaj*, Sumit Dawda, Pradnya Jadhav and Rasika Shirude
  
  Automated Teller Machine (ATM) is now used for transactions by different users in day to day life due to its high convenience. With the help of ATM’s, banking is now easier. But there have been a lot of frauds that are occurring in ATM’s. Thus there is a need to provide more security to these ATM’s. The proposed system provides the real-time detection and real-world encounter through Haar Cascade & CNN, an analytical service. The software starts by taking pictures of everyone and keeps the details in a database. The proposed activity works with the default detection system. The method consists of three stages, the first is facial detection from the image, and the second is obtaining all the facial details for the purpose of expression recognition to detect liveness. The most useful features that differ from the camera image are extracted from the feature extracti.. View More»
  DOI: 10.35248/2165-7866.22.12.302

  Abstract HTML PDF