49 citations · 94 across the 14 of their papers we have counts for
14 papers
Face Identification using Local Ternary Tree Pattern based Spatial Structural Components
Rinku Datta Rakshit, Dakshina Ranjan Kisku, Massimo Tistarelli +1
This paper reports a face identification system which makes use of a novel local descriptor called Local Ternary Tree Pattern (LTTP). Exploiting and extracting distinctive local de…
Ear Identification by Fusion of Segmented Slice Regions using Invariant Features: An Experimental Manifold with Dual Fusion Approach
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing
This paper proposes a robust ear identification system which is developed by fusing SIFT features of color segmented slice regions of an ear. The proposed ear identification method…
An Efficient Vein Pattern-based Recognition System
Mohit Soni, Sandesh Gupta, M. S. Rao +1
This paper presents an efficient human recognition system based on vein pattern from the palma dorsa. A new absorption based technique has been proposed to collect good quality ima…
Maximized Posteriori Attributes Selection from Facial Salient Landmarks for Face Recognition
Phalguni Gupta, Dakshina Ranjan Kisku, Jamuna Kanta Sing +1
This paper presents a robust and dynamic face recognition technique based on the extraction and matching of devised probabilistic graphs drawn on SIFT features related to independe…
Feature Level Fusion of Face and Palmprint Biometrics by Isomorphic Graph-based Improved K-Medoids Partitioning
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing
This paper presents a feature level fusion approach which uses the improved K-medoids clustering algorithm and isomorphic graph for face and palmprint biometrics. Partitioning arou…
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and t…
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…
Multibiometrics Belief Fusion
Dakshina Ranjan Kisku, Jamuna Kanta Sing, Phalguni Gupta
This paper proposes a multimodal biometric system through Gaussian Mixture Model (GMM) for face and ear biometrics with belief fusion of the estimated scores characterized by Gabor…
Fusion of Multiple Matchers using SVM for Offline Signature Identification
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and t…
Feature Level Fusion of Biometrics Cues: Human Identification with Doddingtons Caricature
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing
This paper presents a multimodal biometric system of fingerprint and ear biometrics. Scale Invariant Feature Transform (SIFT) descriptor based feature sets extracted from fingerpri…
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…
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…
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm
Dakshina Ranjan Kisku, Massimo Tistarelli, Jamuna Kanta Sing +1
Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability. Therefore decoupling the information…
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…