Application And Improvement Of Illumination Compensation In Face Detection

Biometric identification systems, which use physical features to check a person's identity, ensure much greater security than password and number systems. Identifying a human individual from his or her face is one of the most non-intrusive modalities in biometrics. The capability of finding and recognizing a face in a random scene is important in everyone's activities. So it's very significant that automate this task. Development in computer technology and artificial intelligence make research on these fields be possible. At the same time, it also spurs the efforts on intelligent interface between human and machine. It is fundamental that computer should know who are in its eyeshot. However, it is also one of the most challenging problems. At first, the face images are obtained by different way or in different condition, so they have substantial difference in quality, geometry, illumination, etc. In addition, it also exits the makeup and face-painting influence. But the most essential reason is that face is a kind of non-rigid object that has highly similarity. Different person's faces have similar shape and structure, and one person's face has different state. In the past decade, many research groups make great efforts on it and a series of successes have made general personal identification appear not only technically feasible but also economically practical. However, no perfect solution can accomplish this task under the non-constraint condition.It is of particular interest in a wide variety of applications. In fact, face recognition technology has two kinds of application: recognition/ identification/ match and verification/ authentification/ surveillance. A typical example about the former one is applications in law enforcement for mug-shot identification. The latter application is also broad, such as verification for personal identification, gateways to limited access areas, authentification for ATM and family security, etc. In brief, one is concluding who is he/she and the other is deciding is he/she somebody. The illumination fluctuation is one of the important factors that influence the precision of face recognition. When environmental illumination is changed, the implementation method in laboratory maybe becomes unavailability. Several traditional methods is discussed for compensation and improving Variable illumination . We want to find the invariance of illumination. Then a novel algorithm based on Wavelet Analysis is presented in this paper. Several empirical tests are given to demonstrate the effectiveness and quality of our method. The method can be applied to a real system , can raise system's robusticity and adaptability.This text compensate and improve and make and study to illumination, Find only under fixed posture, specific illumination compensate between algorithm and people the measuring and it discerns to be reliable s of face. Experiment know, in carrying on and after tertiary little waveseses vary, have to go to and similar to weight include essential feature who art of work look like already to picture, So, carry on the illumination and improve very fine result to the picture on the basis of varying in many grades of little unexpected turn oves, Work that this text cook draw because of these kind of theory.It reflects the light and shade degreeses of picture only however, carry on illumination improve and it has to be very kind result to picture on the basis of varying in many grades of little unexpected turn oves, The work made of this text was just drawn because of this kind of theory.This paper is interested in doing some father work in theory research and practical experiment. It also outlined two instances concerned.A typical automatic face recognition system consists of the following function: image obtaining, face detection and location, image preprocessing, feature extraction, classifier designing and deciding. Most research focuses on face detection, feature extraction and classifier designing.Based on the above theory and experiment, software has been d...