Atm Security System Using Face Recognition In OpenCV
Mrs.Jerrin Simla A
, Deepika S , Divya A , Nandhana SS , ARUN P
ATM, Face-id, Haar Cascade algorithm, Machine Learning, face recognition, face detection
Automated Teller Machine (ATM) is an electronic device installed by the bank that allowscustomers to perform financial transactions with the bank from any location and at any time. ATM is used by the banks to perform banking tasks like withdrawal of money, transferring of money, to get information about a user's bank account without the need to visit the bank. ATM’s are widely used in our daily lives due to their convenience, wide spread availability and time independent facilities. The account holder can access the ATM through ATM card which is unique for each customer and carries his identity. As there is increase in the number of ATM’s, there is also increase in the fraudulent activities happening in the ATM. The main objective of this project is to increase the security of the ATM. The current method uses PIN for security. The proposed method uses face as a key incorporated with current method. The advantages can be found as that the face-id is unique for everybody and it cannot be used by anybody other than the exact user. Face recognition technology helps the machine to identify each and every user uniquely which uses face as a key. This completely reduces the chances of fraud due to theft and duplicity of the ATM cards. For the implementation of the face-id scan, the machine learning algorithm (Haar Cacade algorithm) is used.
"Atm Security System Using Face Recognition In OpenCV", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.407-412, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001064.pdf
Volume 11
Issue 2,
February-2024
Pages : 407-412
Paper Reg. ID: TIJER_151022
Published Paper Id: TIJERB001064
Downloads: 000282
Research Area: Science and Technology
Country: Tiruvallur, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
