Data Collection and Image Processing Tool for Face Recognition

Many biometric systems are being used to identify transactions and increase security levels. These systems analyze the different registers that can recognize a person, for example, fingerprint, face, voice, and iris. Face recognition systems are widely studied for security, surveillance applications, transaction, and general services. The accuracy of these systems depends mainly on two closely related factors, quality data and machine learning techniques used. In this paper, we present a data collection and image analysis tool for face recognition with evolved parameters (ergonomic and visual) setting. The proposed tool is capable of collecting face data with various poses while making the user interaction intuitive and comfortable. The details of the different stages of study, along with discussions, is presented based on results extracted from 79 users.