Kinship verification using Deep Neural Network Models

The recent advancements in the field of image processing has led to giving the importance of kinship verification. In this paper, we propose methodology based on Deep Neural Networks (DNN) and Support Vector Machine (SVM) classifier for the blood relation identification of human faces in the images. We examined the best parameters for every feature extraction technique such as: Grey-Level Co-Occurrence Matrix (GLCM), Completed Joint Scale Local Binary Pattern (CJLBP), Alexnet, Resnet on KinFace-I And KinFace-II datasets. The method is made up of two basic stages which are; (1) Feature Extraction (2) Classification. In the proposed method we adopted Alexnet for the process of feature extraction, and the classifier used is support vector machine (SVM). The results obtained using proposed approach gives better results in comparison to many other approaches that were used previously.