Handling Virtual ATM through Face Detection and Recognition |
Author(s): |
| Srushti Hembade , PVPIT; Megha Mawa, PVPIT; Poonam Rathode, PVPIT; Ritika Ware, PVPIT |
Keywords: |
| Image Processing, Frame Grabbing, Adaboost Algorithm for Face Detection, Face Authentication, Video Streaming, ROI Identification |
Abstract |
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As we know almost of all automated teller machines are working through the magnetic strip cards or auto digital chips. If the customer of the bank who owns the debit card or credit card is not able to perform any transaction on its loss. To tackle this kind of situation ATM machine can be power to perform the transaction based on the fingerprint of the customer or face recognition. Fingerprint recognition is having some issues like if the person is handicapped, then he/she cannot be able to use the facility. So the best solution for this is to handle the ATM through face recognition without adding any burden for the hardware of the ATM machine. So to enhance the process of automated teller machine proposed system puts forward an idea of the operating teller machine using face recognition and authentication to identify the customer using Adaboost algorithm. |
Other Details |
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Paper ID: IJSRDV7I30754 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 895-897 |
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