Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
Biometrics has been gaining attraction due to the ever-growing demand of this field of research on access control, public security, forensics and e-banking. However, there are still many challenging problems in improving the accuracy, robustness, efficiency and user-friendliness of these biometric systems. In this manuscript researchers propose a new adaptive multi-modal biometric framework based on self organizing maps for the recognition of individuals using face and ear. Researchers show that the proposed framework helps to improve the performance and robustness of recognition when compared to some standard methods in literature. The major focus of the approach is to keep the framework adaptive and robust, thereby, capable of being used in a wide variety of environments. Moreover, researchers also discuss some new directions on which SOM shall be effectively used in biometrics community. Researchers show all the findings with experimental results.
How to cite this article:
A.S. Raja and V. JosephRaj. An Adaptive Recognition Technique Named SOMEF Based on Ear and Face Without Subject’s Cooperation Using Neural Network Based Self Organizing Maps.
DOI: https://doi.org/10.36478/ajit.2012.244.251
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2012.244.251