FACE RECOGNITION SMART ATTENDANCE USING CNN

Registration ID: IJNRD_191444

Published ID: IJNRD2304388

DOI: Click Here to Get

VIJAYSURYA

CNN, FACE RECOGNITION, FACE DECETION, SMART ATTENDANCE

While humans can recognize faces without any problems, facial recognition is a difficult recognition problem on a computer. Face recognition attempts to recognize faces based on two-dimensional images that are three-dimensional and change appearance with lighting and face. Facial recognition takes four steps to complete this calculation task. First, face detection is used to distinguish faces from background images. In the second step, segmented face images are based on the calculation of face exposure, image size and photographic features such as lighting and grayscale. The purpose of the associative process is to provide the correct localization of the face in the third step, facial feature extraction. Features such as eyes, nose and mouth are realistic and scaled to represent the face in the image. Then, in the fourth step, the face feature vector thus generated is mapped to the face database.

Published Paper   E-Certificate

VIJAYSURYA (April-2023). FACE RECOGNITION SMART ATTENDANCE USING CNN. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), d645-d646. https://ijnrd.org/papers/IJNRD2304388.pdf

Volume 8 Issue 4, April-2023

Pages : d645-d646

Paper Reg. ID: IJNRD_191444

Published Paper Id: IJNRD2304388

Downloads: 000121977

Research Area: Computer Science & Technology 

Country: KOVILPATTI, TAMIL NADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304388.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304388

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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