الفهرس 
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Abstract
Individual identification process is a very significant process that resides a large portion of day by day usages. Identification process is appropriate in work place, private zones, banks …etc. Individuals are rich subject having many characteristics that can be used for recognition purpose such as finger vein, iris, face …etc. But, In the real world applications, uni-modal biometric systems often face limitations because of sensitivity to noise, intra class invariability, data quality, and other factors. Improving the performance of individual matchers in the aforementioned situation may not be effective. Multi biometric systems are used to overcome this problem by providing multiple pieces of evidence of the same identity.
In this work, an enhanced multimodal biometric system is proposed, the system uses modern image processing and pattern recognition techniques ,this system provides effective fusion scheme that combines information provided by the multiple domain experts based on score-level fusion method, thereby increasing the efficiency which is not possible in uni-modal system.