DocumentCode :
1690764
Title :
Countermeasures against IRIS spoofing and liveness detection using Electroencephalogram (EEG)
Author :
Kathikeyan, T. ; Sabarigiri, B.
Author_Institution :
Dept. of Comput. Sci., PSG Coll. of Arts & Sci., Coimbatore, India
fYear :
2012
Firstpage :
1
Lastpage :
5
Abstract :
The proposed multi-modality human identification system, which fuses the IRIS and Electroencephalogram (EEG). These approaches are the most popular human identification system when they are considered separately. They can be affected by various direct attacks and spoofing. Hence we combine them to obtain a highly secured human identification system. This integrated system using IRIS and Electroencephalogram biometric with Liveness detection is the first of its kind in the international scenario. Experimental results show that the highest identification performance is obtained and neuro image coding is proposed. These ideas and directions helps to develop new tools, techniques, and methodologies in biometrics, lie detection, crime detection, to detect the record of specific terrorist act or any incident stored in the brain and to intensify brain related methodologies, brain imaging studies and healthcare solutions in future.
Keywords :
electroencephalography; health care; image coding; image fusion; medical image processing; neurophysiology; object detection; IRIS biometric; IRIS spoofing; brain imaging; brain related methodology; crime detection; electroencephalogram biometric; health care solution; lie detection; liveness detection; multimodality human identification system; neuro image coding; Biological neural networks; Biomedical imaging; Brain modeling; Electroencephalography; Humans; Image color analysis; Iris recognition; Direct attacks; Electroencephalogram (EEG); IRIS Patterns; Liveness Detection; Neuro image coding; Spoofing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication and Applications (ICCCA), 2012 International Conference on
Conference_Location :
Dindigul, Tamilnadu
Print_ISBN :
978-1-4673-0270-8
Type :
conf
DOI :
10.1109/ICCCA.2012.6179228
Filename :
6179228
Link To Document :
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