DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-2,Issue-1 ( Jan, 2014 ) | |||||||||
Paper Title |
Thermal Imaging As A Bio Metrics Moves Towards To Facial Signature Substantiation | |||||||||
Author Name |
T.Kannika Amirthavalli, D.Kirubha | |||||||||
Affilition |
PG Student, Assistant Professor, Department Of Computer Science And Engineering, Sree Sowdambika College Of Engineering, Aruppukottai, Virudhunagar, Tamilnadu | |||||||||
Pages |
54-58 | |||||||||
Abstract |
Abstract— Thermal imaging framework with distinctive feature extraction and correspondence dimensions for face recognition is presented. The research foundation is to design dedicated algorithms that would extract vasculature information, generate a thermal facial signature, and identify the personality. The anticipated algorithm is fully integrated and consolidates the critical steps of feature extraction through the use of morphological operators, and registered, and matching through unique similarity measures designed for this task. The narrative approach at emergent a thermal signature template using four images taken at various instants of time ensured that unforeseen changes in the vasculature over time did not affect the biometric matching process as the authentication process relied only on consistent thermal features. The highly truthful results obtained in the matching process evidently express the ability of the thermal infrared system to extend in application to other thermal-imaging-based systems. | |||||||||
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