Ms. Suman Kaundal.Journal of Engineering Research and Application www.ijera.com ISSN: 2248-9622 Vol. 10, Issue 02 (Series -III) February 2020, pp 10-14 www.ijera.com DOI: 10.9790/9622-1002031014 10 | Page A Review on Face Recognition Technique Ms. Suman Kaundal 1 , Aparna N Mahajan 2 M.Tech , Research Scholar, Professor Maharaja Agrasen University Baddi ABSRACT: Face recognition and face detection we propose a new locality preserving projection based approach called as LPP is implemented for mapping image into subspace for analysis. This approach is different from other approaches like principle component analysis and linear discriminant analysis approaches. Face recognition , as the main biometric used by human being, has become more popular for last twenty years. Human face recognition procedure basically consist of two phases, namely face detection, where this process takes place very rapidly in human, except under conditions where the object is located at a short distance away, the next is the introduction, which organize a face as individuals --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 05-02-2020 Date Of Acceptance: 20-02-2020 --------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION: Facial recognition is an advance technology that helps in discerning and identifying human faces from an image and video. As the necessity for higher level of security rises, technology is bound to swell to fulfill these needs. Any new creation, enterprise, or development should be uncomplicated and acceptable for end users in order to spread worldwide. This strong demand for user friendly systems which can secures our assets and protect our privacy without losing our identity in a sea of numbers, grabbed the attention and studies of scientists towards what’s called biometrics. Biometric is the emerging area of bioengineering it is the automated method of recognizing person based on a physiological or behavioral characteristic. There exist several biometric system such as signature, fingerprint, voice, iris, retina hand geometry, ear geometry, and face. Among these systems, facial recognition appears to be one of the most universal, collectable, and accessible systems. Biometric face recognition otherwise known as Automatic face recognition (AFR). II. FACE RECOGNITION PROCESS: Regardless of the algorithm used, facial recognition is accomplished in a five step process.  Acquisition.  Pre- processing.  Face detection.  Feature extraction.  Declaring a match FIG: Face recognition process 2.1 Image acquision:- Image acquisition can be accomplished by digital scanning an existing photograph or by using an electro-optical camera to acquire a live picture of a subject. Video can also used as a source of facial image. The most existing facial recognition systems consist of a single camera. The recognition rate is relatively low when face image are in various pose and expression and different illumination. With increase of the pose angle, the recognition rate decreases. The recognition rate decreases greatly when the pose angle is larger than 30 degrees. Different illumination is not a problem for some algorithms like LDA that can still recognize face with different illumination, but this is not true for PCA. . To overcome this problem, we can generate the face image with frontal view, moderate facial expression, and same illumination if PCA is being used. RESEARCH ARTICLE OPEN ACCESS