Australia						                            
                            
						
 Research Article
												Class Specific Feature Selection for Identity Validation using Dynamic Signatures 						
Author(s): Dinesh Kumar and Premith UnikrishnanDinesh Kumar and Premith Unikrishnan             
						
												
				 Classification of the biometrics data for identity validation can be modeled as a single-class problem, where the identity is confirmed by comparing the biometrics of the unknown person with those of the claimed identity. However, current feature selection techniques do not differentiate between single-class and multi-class problems when determining the suitable feature set and select the feature-set that is suitable for representing or discriminating for all the available classes. This may not be the best representation of the biometrics data of an individual because different people may have differences in the most suitable features to represent their biometrical data.
 
In this paper, a class-specific feature selection method has been proposed and experimentally validated using dynamic signatures. This method is based on .. Read More»
				  
												DOI:
												 10.4172/2155-6180.1000160 
																	  
Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report