most citedFeature Level Clustering of Large Biometric Database

3 citations · 4 across the 4 of their papers we have counts for

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cs.CV20131 cited

Stratified SIFT Matching for Human Iris Recognition

Sambit Bakshi, Hunny Mehrotra, Banshidhar Majhi

This paper proposes an efficient three fold stratified SIFT matching for iris recognition. The objective is to filter wrongly paired conventional SIFT matches. In Strata I, the key…

cs.CV2010

Robust multi-camera view face recognition

Dakshina Ranjan Kisku, Hunny Mehrotra, Phalguni Gupta +1

This paper presents multi-appearance fusion of Principal Component Analysis (PCA) and generalization of Linear Discriminant Analysis (LDA) for multi-camera view offline face recogn…

cs.CV2010

SIFT-based Ear Recognition by Fusion of Detected Keypoints from Color Similarity Slice Regions

Dakshina Ranjan Kisku, Hunny Mehrotra, Phalguni Gupta +1

Ear biometric is considered as one of the most reliable and invariant biometrics characteristics in line with iris and fingerprint characteristics. In many cases, ear biometrics ca…

cs.CV20103 cited

Feature Level Clustering of Large Biometric Database

Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani Radhika +2

This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local des…

cs.CV20101 cited

SVM-based Multiview Face Recognition by Generalization of Discriminant Analysis

Dakshina Ranjan Kisku, Hunny Mehrotra, Jamuna Kanta Sing +1

Identity verification of authentic persons by their multiview faces is a real valued problem in machine vision. Multiview faces are having difficulties due to non-linear representa…