There exist a handful of research work that focus on feature extraction to obtain gender specific information from facial images.

The article describes the implementation of different face detection algorithms to capture human faces from real-time video frames using a Raspberry PI microprocessor.

This article deals with the combinations basics of Genetic Algorithm (GA) and Back Propagation Neural Networks (BPNN) and their applications in Pattern Recognition or for Face Recognition problems. Images have a huge information and characteristics quantities. Until today, a …

In this paper, we compare the evolutionary methods Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) using deformable template matching for eye tracking.

Jan 1, 2019 · In order to achieve fast and accurate face recognition, this paper uses PCA to extract features of gray-scale face, then uses GA to optimize the network weight of face features, and finally uses SVM to realize face recognition.

May 1, 2021 · To achieve effective face feature learning, a new individual representation is developed to allow GP to select informative regions from the input image, extract features using various descriptors, and combine the extracted features for classification.

Face Detection and Recognition using Viola-Jones algorithm and Fusion of PCA and ANN 1175 for classification. Face recognition task was performed using k-nearest distance measurement. Firoz Mahmud et al., [16] proposed an approach to recognize a face using PCA based Genetic Algorithm. The PCA is applied to extract features from

This paper proposes a unique approach for recognizing faces with pre-trained models using Genetic Algorithm and 2D Fast Fourier Transform in microcontrollers.

In this sense, this approach seeks to develop a system of face recognition using Genetic Algorithm and a DCT-PCA combination for feature selection and dimensionality reduction, to be applied to an archive of images of human faces. The proposed approach is applied on various Face Databases.

In this paper, a Genetic Algorithm (GA) based approach is proposed for face recognition. The proposed algorithm recognizes an unknown image by comparing it with the known training images stored in the database and gives information regarding the person recognized.