Jul 23, 2015 · The paper presents a back propagation based artificial neural network learning algorithm for recognizing human faces. We have worked on eight features for recognition. A …

Aug 21, 2018 · Back propagation learns by training the inputs, calculating the error between the real output and target output, and propagates back the error to the network to modify the …

Jan 3, 2025 · This paper proposes using BPNN for face recognition, a biometric recognition technique, due to its wide range of face recognition applications in video surveillance, retrieval …

We propose to detect and recognize facial images using the Back propagation neural network(BPNN) .Viola Jones algorithm has been used to detect a face and the features and …

This research focuses on implementing face detection and recognition through a Back Propagation Neural Network (BPNN). The study emphasizes the importance of facial …

In this paper we proposed a computational model of face recognition, which is fast, reasonably simple, and accurate in constrained environments such as an office or a household.

In this paper, we have developed and illustrated a recognition system for human faces using neural network approach. Facial recognition has virtually many areas of application. …

Sep 30, 2011 · In this paper, we present a neural network system for face recognition. Feature vector based on Fourier Gabor filters are used as input of the Back Propagation Neural …

In this paper, we present a neural network system for face recognition. Feature vector based on Fourier Gabor filters are used as input of the Back Propagation Neural Network (BPNN).

Viola-Jones method is used to detect and crop face area from the image. Feature extraction considered as a main challenge in any face recognition system. Principal Component Analysis …