International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,January 2018,

Topic : Face Detection and Recognition from Live Video Stream

Authors:Dr. S Govinda Rao, || G Anil Kumar, Y Manoj Kumar

Abstract:Face recognition” is a very active area in the computer vision and Biometric fields as it has been studied vigorously for 25 years and is finally producing applications in security, robotics, human-computer interfaces, digital cameras, and entertainment. ”Face recognition” generally involves two stages. Face detection, where a photo is searched to find the related face, then image processing cleans up the facial image for easier recognition. Since 2002, Face Detection can be performed fairly reliably such as openCV face detector, working in roughly 90-95% of clear photos of a person looking forward at the camera.The OpenCV libraries make it fairly easy to detect a frontal face new in an image or from a video feed. Face Recognition is the process, where that detected and processed face is compared to a database of known faces to decide who that person is. Under face recognition, we can then compare the detected image to a database of real identity of that person.

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DOI: 01.1617/vol5/iss1/pid52308


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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