High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
IEEE Transactions on Image Processing
A New Distance Measure for Face Recognition System
ICIG '09 Proceedings of the 2009 Fifth International Conference on Image and Graphics
Finger knuckleprint based recognition system using feature tracking
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
An efficient finger-knuckle-print based recognition system fusing SIFT and SURF matching scores
ICICS'11 Proceedings of the 13th international conference on Information and communications security
Localized iris image quality using 2-d wavelets
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Robust and fast assessment of iris image quality
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Palmprint based recognition system using local structure tensor and force field transformation
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Four slap fingerprint segmentation
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Iris recognition using consistent corner optical flow
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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This paper proposes an iris classification method based on the iris image quality. Quality of an iris image is modeled as a function of the attributes like focus, motion blur, occlusion, contrast and illumination, specular reflection and dilation. Values of these attributes are combined using a support vector machine (SVM) to provide the overall quality class of the image.