Comprehensive Analysis of Face Recognition Technologies
This article provides a comprehensive review of face recognition research, focusing on advancements made over the past century. It presents a detailed examination of the core concepts, principles, steps, and classifications of face recognition technology. The review highlights the practical applicat...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03007.pdf |
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| _version_ | 1825206592023298048 |
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| author | Liu Bowei |
| author_facet | Liu Bowei |
| author_sort | Liu Bowei |
| collection | DOAJ |
| description | This article provides a comprehensive review of face recognition research, focusing on advancements made over the past century. It presents a detailed examination of the core concepts, principles, steps, and classifications of face recognition technology. The review highlights the practical applications of face recognition in contemporary contexts and summarizes key datasets and preprocessing methods used in the field. The paper categorizes face recognition methods into three main types and places particular emphasis on hybrid methods. It explores the principles and research processes associated with these methods, offering an in-depth analysis of their results. Among the various techniques reviewed, deep learning methods emerge as the most promising for face recognition due to their superior performance. This review serves as a valuable resource for students and novice researchers by providing a clear overview of current research methodologies and tools. Additionally, it outlines potential research directions and contributes to the advancement of the field of computer vision. |
| format | Article |
| id | doaj-art-c0689bdb31dc41a888df2e6044d7693b |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-c0689bdb31dc41a888df2e6044d7693b2025-02-07T08:21:11ZengEDP SciencesITM Web of Conferences2271-20972025-01-01700300710.1051/itmconf/20257003007itmconf_dai2024_03007Comprehensive Analysis of Face Recognition TechnologiesLiu Bowei0Ulster College, Shaanxi University of Science and TechnologyThis article provides a comprehensive review of face recognition research, focusing on advancements made over the past century. It presents a detailed examination of the core concepts, principles, steps, and classifications of face recognition technology. The review highlights the practical applications of face recognition in contemporary contexts and summarizes key datasets and preprocessing methods used in the field. The paper categorizes face recognition methods into three main types and places particular emphasis on hybrid methods. It explores the principles and research processes associated with these methods, offering an in-depth analysis of their results. Among the various techniques reviewed, deep learning methods emerge as the most promising for face recognition due to their superior performance. This review serves as a valuable resource for students and novice researchers by providing a clear overview of current research methodologies and tools. Additionally, it outlines potential research directions and contributes to the advancement of the field of computer vision.https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03007.pdf |
| spellingShingle | Liu Bowei Comprehensive Analysis of Face Recognition Technologies ITM Web of Conferences |
| title | Comprehensive Analysis of Face Recognition Technologies |
| title_full | Comprehensive Analysis of Face Recognition Technologies |
| title_fullStr | Comprehensive Analysis of Face Recognition Technologies |
| title_full_unstemmed | Comprehensive Analysis of Face Recognition Technologies |
| title_short | Comprehensive Analysis of Face Recognition Technologies |
| title_sort | comprehensive analysis of face recognition technologies |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03007.pdf |
| work_keys_str_mv | AT liubowei comprehensiveanalysisoffacerecognitiontechnologies |