Egamberdiev, Mardonbek Muzaffar ugli and Mirzayev, Muhammadjon Muhammadayub ugli (2025) DIFFERENT FEATURES OF LIBRARIES OF PROGRAMMING LANGUAGES IN FACE RECOGNITION. Miasto Przyszłości, 61. pp. 567-570. ISSN 2544-980X

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Abstract

Face recognition technology has rapidly advanced due to the integration of sophisticated programming libraries across various languages. This article explores the different features of prominent libraries in Python, C++, Java, and MATLAB, focusing on theircapabilities in face detection, feature extraction, and recognition accuracy. Python libraries like OpenCV, Dlib, and face_recognition offer ease of use and strong community support, while C++ libraries provide superior execution speed and control. Java-based libraries, including JavaCV and OpenIMAJ, emphasize cross-platform compatibility, whereas MATLAB provides a robust environment for algorithm prototyping and visualization. The study reviews recent research and practical applications, highlighting performance benchmarks and use cases. Comparative analysis through experimental results illustrates how language-specific libraries cater to different development needs in terms of scalability, accuracy, and real-time processing. This comprehensive overview aids developers and researchers in selecting the most appropriate library tailored to their face recognition projects

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	Postgraduate > Master's of Management
Depositing User:	Journal Editor
Date Deposited:	02 Jul 2025 14:58
Last Modified:	02 Jul 2025 14:58
URI:	http://eprints.umsida.ac.id/id/eprint/16254

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