Person identification based on facial biometrics in different lighting conditions

<span lang="EN-US">Technological development is an inherent feature of this time, that reliance on electronic applications in all daily transactions (business management, banking, financial transfers, health, and other important aspects life). Identifying confirming identity one the complex challenges. Therefore, relying biological properties gives reliable results. People can be identified pictures, films, or real-time using facial recognition technology. A face individual a unique identifying characteristic to authenticate them prevents permits another person assume individual’s without their knowledge consent. This article proposes identification model by characteristics, based deep neural network (DNN). The proposed method extracts spatial information available image, analysis extract salient features, makes decision these features. presents successful promising results, accuracy achieves system reaches 99.5% (+/- 0.16%) values loss function reach 0.0308 over Pins Face Recognition dataset identify 105 subjects.</span>