Enhanced Security in Payment Gateways Through Face Detection: An Advanced Approach Using DenseNet 121- BiLSTM Models-Reference-Cited by-同舟云学术

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Enhanced Security in Payment Gateways Through Face Detection: An Advanced Approach Using DenseNet 121- BiLSTM Models

Published:2024-05-02 Issue: Volume:27 Page:1-6
ISSN:
Container-title:2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC)
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Author:

Gowsic K.¹,M Sowmiya¹,M Nirmala Devi²,Chauhan Amit³,Rexy V Arul Mary⁴,Singh Dharmendra⁵

Affiliation:

1. Mahendra Engineering College (Autonomous),Department of Computer Science and Engineering,Namakkal,India

2. School of Sciences, CHRIST (Deemed to be University),Department of Life Sciences,Bengaluru,Karnataka,India

3. St. Martin's Engineering College,Department of English,Secunderabad,India

4. Saveetha College of Liberal Arts and Sciences, SIMATS,Department of Commerce,Kuthambakkam,India

5. School of Management Sciences,Department of Applied Science,Lucknow,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592863/10592866/10593820.pdf?arnumber=10593820

Reference25 articles.

1. Face Recognition Method Based on Improved LDA

2. An efficient scheme for face detection based on contours and feature skin recognition in payments;Heshmat,2016

3. Enhancing user authentication of online credit card payment using face image comparison with MPEG7-edge histogram descriptor

4. A New Method For Face Recognition Using Feature Clustering With Fuzzy Parameters

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