Smart Authentication System Using Deep Learning Techniques Based on Face and License Plate Recognition

Abstract

Biometrics is a branch of information technology that is rapidly expanding. The technologies are computer-assisted systems for relating to people based on their natural and behavioral traits. The biometric system is a type of authentication that allows people to be identified automatically based on their unique physiological or behavioral features. In other words, it's a method of automatically identifying a person based on biological characteristics. Physiological traits are inherited features that are formed during the early stages of mortal development. Individualities' hand figure, face, point, iris, and retina are some of the physiological traits that can be measured. Security has become a huge issue encyclopedically, and biometric technologies similar to face finding and recognition systems have been established to handle security challenges and lessen security traps around the world. Because of their built-in verification and identification capabilities, these systems can provide biometric security, crime prevention, and videography surveillance services. In this paper a design, applying the smart authentication system is used to identify the unknown person entry using real time biometric system and license plate recognition. This includes the face biometric system which comprises the facial features similar as lips, cheeks, eyes and so on. Face biometric system analyzed using Artificial Intelligence technology to identify the unauthorized person with alert system. For verification of new stoner, a recently arising trend Face Recognition is used which claims to give further delicacy in matching the image databases and has a capability to fete a subject at different view angles. This also includes the license plate discovery to assay the textbook pixels and fete the integers in number plate image using deep literacy algorithm. The CCTV camera is fixed at the entry of the gate and used to observe the face and number plate of the druggies. The observed image of the person is transferred to system which is connected to the CCTV camera. The alert may be shoot as alarm, SMS alert at the time unknown person entry.