Paper Info
Title
Efficient human recognition system using ear and profile face
Abstract
This paper proposes an efficient human authentication system which makes use of ear and profile face data. SURF has been used to extract features from enhanced images and fusion has been performed at feature level and score level. The evaluation has been done on three data sets viz. IITK Data Set 1 acquired at Indian Institute of Technology Kan-pur, collection E (UND-E) and collection J2 (UND-J2) acquired at University of Notre Dame. It has been observed that the fusion of ear and profile face improves the recognition performance considerably as compared to one when ear or face are individually used. For the fusion strategy, it is observed that the score level fusion performs better than the feature level fusion and has achieved verification accuracies of 98.02% and 96.02% with EER of 2.83% and 4.4% on UND-E and UND-J2 data sets respectively and that of 99.36% with EER of 0.85% on IITK Data Set 1.
Year
DOI
Venue
2013
10.1109/BTAS.2013.6712755
BTAS
Keywords
Field
DocType
profile face data,feature level fusion,ear data,iitk data set 1,image fusion,face recognition,score level fusion,university of notre dame,biometrics,und-j2 data sets,surf,ear recognition,und-e data sets,human authentication system,data acquisition,feature extraction,indian institute of technology kan- pur,eer,authorisation,verification accuracies,image enhancement,profile face,human recognition system
Facial recognition system,Data set,Image fusion,Pattern recognition,Authentication system,Recognition system,Computer science,Authorization,Data acquisition,Feature extraction,Speech recognition,Artificial intelligence
Conference
Citations 
PageRank 
References 
4
0.42
13
Authors
3
Name
Order
Citations
PageRank
Rajeev Rathore140.42
Surya Prakash215919.79
Phalguni Gupta380582.58