In recent years, the domestic security industry market has developed rapidly. As intelligence becomes a major trend in the industry, intelligent security has gradually become the direction of the transformation and upgrading of security companies, and its proportion in the security industry will become increasingly larger. The current biometric technology includes face recognition, fingerprint recognition, palm print recognition, iris recognition, etc.
“FACE RECOGNITION”. The human face plays an important role in our social interaction. Facial recognition is one of the preferred methods of biometrics because it is a neutral, non-intrusive, easy-to-use, which requires minimal physical contact as compared with other biometrics systems. Face recognition is based on both the shape and location of the eyes, eyebrows, nose, lips, and chin or on the overall analysis of the face image that represent a face as a number of recognized faces. Face image can be captured from a distance without touching the person being identified, and the identification does not require interacting with the person. Face Recognition System (FRS) enables only authorized users to access data from cloud server.
FACE RECOGNITION SYSTEM
Face recognition is a biometric security system. As the name suggests the face acts as a password for the systems. Face recognition security system where, we proposed authentication scheme using face recognition system. As the diagram explains we have login option for the user after which the verification is conducted using face of the person. Detailed architecture is explained below.
1) Image Capture – It is the step where image of the person is captured wherein his or her face is visible. In case of 2D facial recognition, a digital camera with normal resolution is needed. 2) Face Detection – Face detection involves identifying the face in the captured image. In simple words only the face of the person is seized & all other parts of the images are eliminated. 3) Alignment – The face captured in the camera may not be completely perpendicular to the camera and hence the alignment needs to be determined and compensated so that it is ready to use of recognition process. 4) Feature Extraction – Feature extraction involves a process of measuring various facial features and creating a facial template, for the purpose of matching and identification.
PROPOSED FACE RECOGNITION SYSTEM FOR USER AUTHENTICATION
Step I – New User Registration Whenever user wants to access cloud resources, user has to register first on to the cloud server.
1) User has to fill the registration form which is provided by cloud provider. It contains detail information about the user. 2) User has to provide valid Email ID as a username to the face recognition system at the time of registration. 3) Face recognition system checks the Email ID against the availability of that username. Username should not repeat or match with existing user’s username. 4) After checking the availability of username, the password must be created. Face image through web camera is stored in database as a password. 5) After providing valid username and storing face image as a password, the registration on cloud server is completed.
Step II – Registered User Login When registered user wants to access resources on the cloud server, then registered user should login on to the cloud server. Following are the steps to login on to the cloud server. 1) User should enter valid username in his login interface which was already provided by the user at the time of registration. And for password user’s face is captured by web camera. 2) Face recognition system checks the username and face image as a password provided by the user. 3) After matching the username and face image as a password, face recognition system provides access of cloud services to the user. 4) If username or face image does not match then face recognition system displays an error message.
So, it is a better option to use face recognition system rather than traditional or other biometric authentication techniques. The security level of cloud provider in terms of secure authentication is much improved by using face recognition system.