Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN

Year : 2025 | Volume : 16 | Issue : 01 | Page : 17 26
    By

    Karan R Talwalkar,

  • Kshitj Navale,

  • Aditya Ashok,

  1. Student, Department of Electronics & Communication Engineering, Shri Vile Parle Kelavani Mandal Narsee Monjee Institute of Management Studies, Thane, Maharashtra, India
  2. Student, Department of Electronics & Communication Engineering, Shri Vile Parle Kelavani Mandal Narsee Monjee Institute of Management Studies, Thane, Maharashtra, India
  3. Student, Department of Electronics & Communication Engineering, Shri Vile Parle Kelavani Mandal Narsee Monjee Institute of Management Studies, Thane, Maharashtra, India

Abstract

Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the image and whether the image is spoofed or not. These experimental results used various types of complex image datasets and generated datasets. In this algorithm, edge detection is done by using the canny detector. We tried to solve the problem of low-contrast images. In the preprocessing stage, we used an image-denoising algorithm for removing noise from the image. The detection rate has reached 100% Real-time face detection using MTCNN.

Keywords: Face Detection, Expression Detection, Genetic Algorithm, Canny Detector, fast NÍ Means Denoising Colored MTCNN.

[This article belongs to Journal of Control & Instrumentation ]

How to cite this article:
Karan R Talwalkar, Kshitj Navale, Aditya Ashok. Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN. Journal of Control & Instrumentation. 2025; 16(01):17-26.
How to cite this URL:
Karan R Talwalkar, Kshitj Navale, Aditya Ashok. Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN. Journal of Control & Instrumentation. 2025; 16(01):17-26. Available from: https://journals.stmjournals.com/joci/article=2025/view=193245


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Regular Issue Subscription Review Article
Volume 16
Issue 01
Received 20/12/2024
Accepted 02/01/2025
Published 09/01/2025
Publication Time 20 Days
199

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