1. INTRODUCTION 1.1 FACE RECOGNITION The face recognition is one of the most suitable biometric methods, and it also the most common method of recognition that human use graphic interactions. The verification systems based on fingerprint, voice, iris and the most recent gene structures using recognition of data acquisition. For example, fingerprint the concerned person in proper position and orientation and speaker the microphone should be kept in proper position and distance from the speaker. The
face as a biometric for recognition is due to the fact that it is non-intrusive. The task of successfully matching face images obtained before and after plastic surgery is a exigent problem. The extent to which a face is altered depends on the form and number of plastic surgeries performed, and it is complex to model these variations. Existing approaches use learning based methods that are either computationally expensive or rely on a set of training images. Altering facial appearance using surgical
(e.g., identity, gender, expression, age, race, and pose). The current evolution in computer technology in recent years has facilitated the development of real-time computer human interaction. Examples can be found, particularly in biometrics and human computer interaction, as the information contained in faces needs to be analyzed for systems to react accordingly (Yang, 2009). Faces first need to be located and registered to facilitate further processing to detect facial features accurately for other
CHAPTER 1 INTRODUCTION TO FACE RECOGNITION 1.1. BIOMETRICS A biometric system is a technological system that uses information about a person to identify that person. Biometric systems rely on specific data about unique biological traits in order to work effectively. A biometric system will involve running data through algorithms for a particular result, usually related to a positive identification of a user or other individual. We all have unique physiological
techniques for recognition. Our approach treats face recognition as a two-dimensional recognition problem. In this scheme face recognition is done by Principal Component Analysis (PCA). Face images are projected onto a face space that encodes best variation among known face images. The face space is defined by Eigen face which are eigenvectors of the set of faces, which may not correspond to general facial features such as eyes, nose and lips. The Eigen face approach uses the PCA for recognition of the images
Through text analysis or facial expression recognition, a program on her laptop could identify the high level of emotion, understand what is about to happen, and warn her to take a breather before she sends something she will regret. The example shows how emotional computing and software
Facial biometric is one of the widely used biometric technologies over the real time data. For implementing facial biometric we need to go through the process of face detection and face recognition. In face detection system, faces first need to be located properly and look towards further processing to detect facial features. In this study skin color based face detection method is applied which uses LAB color space. Skin color is one of the useful and robust methods for face detection.
and pattern recognition field, an intriguing and a challenging problem that is widely studied is biometric based face recognition by an automatic system. Biometric defines the authentication techniques that based on measurable physical and behavioral characteristics that can be automatically verified. There are several types of biometric identification schemes namely fingerprint, hand geometry, retina, iris, signature, vein, voice, and face. Face biometric is the analysis of facial characteristics
A NOVEL METHOD FOR AGE INVARIANT FACE RECOGNITION R. Prema Dr. P. Shanmugapriya Research Scholar and Assistant Professor Associate Professor Dept. of CSE Dept. of IT SCSVMV University SCSVMV University Kanchipuram,Tamil Nadu, India Kanchipuram ,Tamil Nadu, India. Premarajan2013@gmail.com Abstract- Security and authorization of person is a crucial part of any industry or organization. There are many techniques are available in the industry .Techniques are Password management
user identity. There are different types of biometrics available such as finger print, facial scan, retinal scan, voice print. From these, face is one of the most commonly used biometric. Hence the development of face recognition system seems to be useful. There are many techniques people use to evade their identification. Plastic surgery is one of them. Plastic surgery is a surgical procedure to correct the facial anomalies or to improve the appearance of the face. Matching of images before and after