Artificial Neural Network based Face Recognition

Biju V.G.; Anu S. Nair; Prajinlal P; Sajna B. John; Arun P.M.; Akhila K.A

doi:10.17148/IJIREEICE.2016.4487

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Artificial Neural Network based Face Recognition

Biju V.G., Anu S. Nair, Prajinlal P, Sajna B. John, Arun P.M., Akhila K.A

Downloads: Download PDF|DOI: 10.17148/IJIREEICE.2016.4487

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Abstract: The paper focused to reduce the computational complexity in face detection and improve the accuracy rate of face recognition. Face detection is one of the method that uses biometric features which detect the face automatically by compressed system by taking the image or video. The system utilizes Viola-Jones algorithm is detecting face from given image. The main challenging problems in face detection are illumination, noise reduction and low resolution. Viola Jones algorithm have the highest accuracy in face detection. Artificial Neural Network used for face recognition. ANN has the highest accuracy in face recognition.

Keywords: Face extraction, Face recognition, Face Detection, Biometric Features.

How to Cite:

[1] Biju V.G., Anu S. Nair, Prajinlal P, Sajna B. John, Arun P.M., Akhila K.A, “Artificial Neural Network based Face Recognition,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2016.4487

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