International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Face Recognition Usings Python

Author(s) Mr. Dinesh Sudhakar Mhaskar, Yadnesh Manik Chhand, Aakash Raju Patil, Om Madhukar Vekhande, naresh shende
Country India
Abstract The human faces are dynamic multidimensional systems that require good recognition processing techniques. Over the past few decades, the interest in automated face recognition has been growing rapidly, including its theories and algorithms. Public security, criminal identification, identity verification for physical and logical access, and intelligent autonomous vehicles are a few examples of concrete applications of automated face recognition that are gaining popularity among industries. Research in facerecognition started in the 1960s. Since then, various techniques have been developed and deployed, including local, holistic, and hybrid approaches, which recognize faces using only a few face image features or whole facial features. Yet, robust and efficient face recognition still provides challenges for computer vision and pattern recognition researchers. In this paper, the researchers offered an overview of face recognition, the different used techniques in previous literature and their applications.
Keywords face detection using python, open The human faces are dynamic multidimensional systems that require good recognition processing techniques. Over the past few decades, the interest in automated face recognition has been growing rapidly, including its theories and algorithms. Public security, criminal identification, identity verification for physical and logical access, and intelligent autonomous vehicles are a few examples of concrete applications of automated face recognition that are gaining popularity among industries. Research in facerecognition started in the 1960s. Since then, various techniques have been developed and deployed, including local, holistic, and hybrid approaches, which recognize faces using only a few face image features or whole facial features. Yet, robust and efficient face recognition still provides challenges for computer vision and pattern recognition researchers. In this paper, the researchers offered an overview of face recognition, the different used techniques in previous literature and their applications.
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-18
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.39330
Short DOI https://doi.org/g89vvj

Share this