Secure Online Transaction using Iris
K. Sivasankari1, Abhishek Balamurugan2, Sai Dhanush. R3, Sundeep. J.4
1Abhishek Balamurugan, B. Tech, Department of Computer Science from SRM University Chennai, (Tamil Nadu) India.
2Sai Dhanush. R, B. Tech, Department of Computer Science from SRM University Chennai born and raised in Chennai, (Tamil Nadu) India.
3Sundeep. J, B. Tech, Department of Computer Science from SRM University Chennai born and raised in Chennai, (Tamil Nadu) India.
4Sivasankari. K, Assistant Professor, Department of Computer Science Engineering, SRMIST, Ramapuram Campus, Chennai, (Tamil Nadu) India.
Manuscript received on 29 September 2021 | Revised Manuscript received on 05 October 2021 | Manuscript Accepted on 15 November 2021 | Manuscript published on 30 November 2021 | PP: 5-14 | Volume-1 Issue-2, November 2021 | Retrieval Number: 100.1/ijcns.A1408111221 | DOI: 10.54105/ijcns.A1408.111221
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this project, we are planning to create a strong robust calculation for executing cash in higher level security reason with high acknowledgment rates in a shifting environment. To begin with, Haar cascade based calculation has been connected for quick and basic confront location from the input picture. The confront picture is at that point being changed over into grayscale picture. After that, the iris, eyebrows, nose, mouth of candidates are extricated from the escalated valleys from the recognized confront.
Keywords: Adaboost learning, Biometric Verification Software, Haar Cascade, Secure Electronic Transaction.
Scope of the Article: Secure Electronic Transaction