Classification of Human Face: Asian and Non-Asian People
Talha Imtiaz Baig, Talha Mahboob Alam, Tayaba Anjum, Sheraz Naseer, Abdul Wahab, Maria Imtiaz, Muhammad Mehdi Raza · 2019
Humans have always been recognized as different from neighboring groups, but such distinction has not always been understood to be natural, permanent and universal. These features are recognized as different features of how the abstraction of race classification is used today. In this way, the concept of race classification came about during the documented process of inspection and subjection which brought it as communication with groups from different continents, and of the idea of classification and typology found in the natural sciences. This method helps us to extract various features from the network and can utilize it to distinguish individuals in the world with a precise personality. The proposed method incorporates the essential feature associated with surface, skin color pattern and another secondary characteristic of training images to efficiently rank the strokes. A CNN based model is proposed to create a system that classifies facial images based on a variety of different facial attributes and classified into two distinct categories. The accuracy of 84.91% was achieved by utilizing the CNN model.