International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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An Overview on Multiple Face Recognition System Using Image Processing

Author(s) Ms. Ramya S K, Ms. Nisarga D N, Ms. Sushravya K, Ms. Ananya K, Ms Harshitha M S
Country India
Abstract A Multiple face recognition system using image processing is a computer-based application designed to detect and identify multiple human faces from images or real-time video streams. The system captures images through cameras and applies pre-processing for the images obtained to make the pictures look better. Pre-processing is done using algorithms for reducing noise, enhancing image quality etc. A computer program that uses image processing to recognize and identify more than one human face from pictures or live video streams is called a multiple face recognition system. After that, face detection algorithms are used to find more than one face in a single frame. During feature extraction, each detected face is examined to find unique features like the shape of the face and key points. Using recognition algorithms, these features are compared to a stored database to figure out who they belong to. The system can handle multiple faces at once, which makes it useful for things like security systems, surveillance, and attendance tracking. Machine and Deep Learning are used in modern implementations to make image recognition more accurate and faster. It also lets you track things in real time, get notifications, and manage data, which makes things more efficient and cuts down on the work that needs to be done by hand.
Keywords Image Acquisition, Pre-Processing, Feature Extraction, Classifiers, Algorithms
Field Computer Applications
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-14
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.78464
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E-ISSN 2582-2160
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