Face Recognition Usings Python

Dinesh Sudhakar Mhaskar; Yadnesh Manik Chhand; Aakash Raju Patil; Om Madhukar Vekhande; naresh shende

doi:10.36948/ijfmr.2025.v07i02.39330

Face Recognition Usings Python

Author(s)	Mr. Dinesh Sudhakar Mhaskar, Mr. Yadnesh Manik Chhand, Mr. Aakash Raju Patil, Mr. Om Madhukar Vekhande, Prof. Mr. 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

View / Download PDF File

E-ISSN 2582-2160

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2 Cover Page Vol 8 Isu 1 Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research

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

Face Recognition Usings Python

Share this