[PDF] Top 20 Face Recognition Systems Using Different Algorithms: A Literature Review

... that Face Recognition suffered from are: variations in illumination, head rotation, facial expression, and ...by using an algorithm that used local template matching, and a global measure of fit to ... See full document

... and recognition are the difficult complications in computer vision ...pattern recognition and computer vision communities [8, 11, 12, ...of face recognition systems in controlled ... See full document

... testing face recognition for welfare benefits where they compare the entire database when enrolling a new applicant in welfare to make sure that the applicant only has one ...current face ... See full document

... uncontrolled face database is the Labeled Faces in the Wild database with over 600 citations in the face recognition literature ...ideal face recognition algorithm should perform ... See full document

... adequate face recognition achievement rate in correlation with extremely acclaimed face recognition calculations, for example, PCA and ...based systems, for example, Modified PCA (MPCA) ... See full document

... between face is expected to be found among identical ...of face recognition systems can distinguish two different person who are identical ...of using a variety of facial surface ... See full document

... in different applications, face detection and reorganization is one of ...like face recognition, fingerprint recognition, iris scan, and speech ...them, face detection is a very ... See full document

... Face recognition system is an important research area spanning numerous fields and ...The face recognition system have numerous practical applications such as criminal investigation, bankcard ... See full document

... Face recognition is one of the most relevant applications of image processing and biometric ...pattern recognition. In the past few years, face recognition has received a significant ... See full document

... Face recognition have gained a great deal of popularity because of the wide range of applications such as in entertainment, smart cards, information security, law enforcement, and ...pattern ... See full document

... Templates have been also used as input to Neural Network (NN) based systems. Lawrence et.al proposed a hybrid neural network approach that combines local image sampling, A self organizing map (SOM) and a ... See full document

... 3D face database [15] for 3D face recognition ...3D face scans acquired using a Minolta 910 laser scanner that pro- duces range images with a resolution of 640 × 480 in ...data ... See full document

... solving face recognition challenges ...such face recognition ...image recognition, natural language processing, and information retrieval ...the face of an individual improves ... See full document

... the face that appearances are non unbending articles. Face appearance may change between two photos of a similar individual, contingent upon the enthusiastic stage, lighting conditions or ...furthermore ... See full document

... used different global descriptors of the full logo either evaluating logo contours or exploiting shape descriptors such as shape context[8] ...at different spatial distances into a histogram of Color-Edge ... See full document

... Face recognition has traditionally been performed with facial feature extracted from two dimensional ...methods face recognition procedure in general, global characteristics and local feature ... See full document

... of face, fingerprint and finger vein, iris, palm print and DNA are examples of unique biometric characteristics of a ...and different for different person, the trait must be permanence where it does ... See full document

... images. Face detection has been studied extensively for improving human computer interaction ...(HCI). Face detection is the first step to all facial analysis algorithms, like face alignment, ... See full document

... Among all these kernel trick based methods, Kernel Fisher Analysis is computationally simple. It needs only the factorization of gram matrix calculated with the given training examples. The other kernel based methods ... See full document

... are different types of notes such as noisy and old notes and the machine does not easily recognize such ...developed using ENN can identify them easily and ...of different dominations, which are of ... See full document