@article{MAKHILLAJIT20121165736,
    title = {An Adaptive Recognition Technique Named SOMEF Based on Ear and Face Without Subject’s Cooperation Using Neural Network Based Self Organizing Maps},
    journal = {Asian Journal of Information Technology},
    volume = {11},
    number = {6},
    pages = {244-251},
    year = {2012},
    issn = {1682-3915},
    doi = {ajit.2012.244.251},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2012.244.251},
    author = {A.S. and},
    keywords = {Biometrics,face,ear,Self Organizing Maps (SOM),public security},
    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.}
    }