Face recognition
A Leopard Cannot Change Its Spots: Improving Face Recognition Using 3D-based Caricatures
... of face recognition in the wild has significantly increased, mainly due to the advent of deep learning ...of face recognition approaches focused on improving performance via new learning ...
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Enhanced and Fast Face Recognition by Hashing Algorithm
... individual’s face is decomposed into blocks and then processed by block-based transforms, ...the recognition rate. The main purpose of the proposed technique is fast face recognition so that ...
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Improved minimum squared error algorithm with applications to face recognition.
... Minimum squared error based classification (MSEC) method establishes a unique classification model for all the test samples. However, this classification model may be not optimal for each test sample. This paper proposes ...
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3D Face Recognition Under Unconstrained settings using Low-Cost Sensors
... and face, generally decrease the system’s accuracy, as most systems are prepared for recognition mainly in frontal ...the face, remove significant discriminative information that drastically diminish ...
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A novel polar-based human face recognition computational model
... in face recognition In classical studies of the human visual system, the luminance of test stimuli is modulated by a sine function in Cartesian coordinates ...human face processing in the Cartesian ...
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Adaptive PCA-SIFT Matching Approach for Face Recognition Application
... SIFT is firstly developed by D. Lowe in 1999 [3], the main idea of SIFT is to extract features from images to achieve reliable matching between different parts of the same object. The extracted features are invariant to ...
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Convolutional Neural Network for Face Recognition with Pose and Illumination Variation
... Abstract— Face recognition remains a challenging problem till ...the recognition performance when affected by the variability of non-linear effects that include illumination variances, poses, facial ...
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Face recognition by cortical multi-scale line and edge representations
... In order to explain the face recognition model, it is necessary to illustrate how our visual system can reconstruct, more or less, the input image. Image recon- struction can be based on one lowpass filter ...
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Sparse Representation Approach for Variation-Robust Face Recognition Using Discrete Wavelet Transform
... ing face images are used as the dictionary to represent an input testing image as a sparse linear co mbination of them using L1-norm minimizat ...of face images is evaluating which class of training samples ...
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Automatic Door Access System Using Face Recognition
... using face recognition and detection is presented.Automatic face detection and recognition is done by Matlab program on ...Viola-Jones face detection method is used to detect the ...
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Face recognition: sub-division under health monitoring of pc users
... Hence we use 2-Dimensional–Discrete Cosine Transform (2D-DCT).The observation vectors consist of a set of 2D- DCT coefficients that are extracted from each block. The DCT compression properties for natural images make ...
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Dual Transform based Feature Extraction for Face Recognition
... Face recognition is a biometric tool for authentication and verification, has great emphasis in both research and practical ...for Face Recognition (DTBFEFR) is ...test face are ...
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Daubechies Wavelet Tool: Application For Human Face Recognition
... human face recognition using Daubechies wavel et transform on the face images of different illumination with expression has been ...visual face database which contains images gathered with ...
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FACE RECOGNITION ALGORITHM BASED ON ORIENTATION HISTOGRAM OF HOUGH PEAKS
... novel face recognition algorithm based on orientation histogram of Hough Transform ...Database.97% Recognition rates have been obtained for ORL database, 100% for Yale B and 100% for Essex Grimace ...
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REAL TIME FACE RECOGNITION USING ADABOOST IMPROVED FAST PCA ALGORITHM
... effective recognition of human face from image databases is now a ...requirement. Face recognition is a biometric method for identifying individuals by their features of ...of face ...
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Real time face recognition system using principal component analysis & database
... Abstract- Face Recognition is the process of identification of a person by their facial ...treats face recognition as a two-dimensional recognition ...problem. Face images are ...
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Efficient Facial Expression and Face Recognition using Ranking Method
... iris, face recognition has distinct advantages because of its non-contact ...process. Face images can be captured from a distance without touching the person being identified, and the identification ...
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Efficient Face Recognition in Video by Bit Planes Slicing
... for face recognition from video sequences is quite difficult due to involvement of complex face under different pose and illumination ...condition. Face recognition using bit planes ...
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Hybrid Face Recognition and Classification System for Real Time Environment
... Abstract- Face recognition has been an important and active research field because it offers many ...time face recognition algorithm is proposed in this paper based on the use of Haar wavelet ...
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Feature Extraction based Face Recognition, Gender and Age Classification
... preprocessing face authentication for illumination ...fast face recognition algorithms used for face detection and ...for face recognition in Digital Voice recorder (DVR) ...
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