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A NOVEL FINGERPRINT COMPRESSION STANDARD BASED ON SPARSE REPRESENTATION
One Person Can Be Differed From Another Person Using Fingerprint Only. No Two Persons Having Same Fingerprints. It’s A Unique Identity Of A Person. Now A Day, Fingerprint Recognition Is Very Popular For Private Identification We Are Very Th...
A KERNEL BASED LOCALITY-SENSIBLE GROUP SPARSITY REPRESENTATION OF EFFICIENT FACE DETECTION
In This Paper, We Consider The Problem Of Automatically Recognizing Human Faces From Frontal Views With Varying Expression And Illumination, As Well As Occlusion And Disguise. We Cast The Recognition Problem As One Of Classifying Among Mult...
QUATERNION MATRIX APPROACH FOR COLOR IMAGE WITH VECTOR SPARSE REPRESENTATION
Conventional Sparse Image Models Treat Image Pixel As A Scalar, Which Represents Color Channels Separately Or Concatenate Color Channels As Indefinite Image. In This Paper, We Propose A Vector Sparse Representation Model For Color Image...
A NOVEL APPROACH TO PARTIAL FACE RECOGNITION: MKD-SRC
Face Recognition Is Defined As A Methodology To Check Whether The Captured Image Or Input Image Is Exactly Similar To The Predefined Images Present In The Dataset. Day By Day There Is Arapid Enhancement In The Field Of Face Recognition....