Nowadays, biometric plays a vital role in various security applications like banking, medical, and defense systems. The principle behind the biometric system is measuring and checking the biometric characters of individuals. The wireless communication systems are utilized to access Biometric Recognition System (BRS) at any place. In this work, finger vein pattern based biometric system is developed and the Multiple Input Multiple Output (MIMO) - Orthogonal Frequency Division Multiplexing (OFDM) system is used for transmitting the biometric trait information (i.e., data base) from one place to another place. The recognition accuracy of the biometric system is improved by using the Hybrid Feature Extraction (HFE) and feature selection techniques. The communications over the MIMO-OFDM system is secured by using the Dual-RSA technique. The classification among the individuals are identified by using the Error Correcting Output Code based Support Vector Machine (ECOC-SVM). The combination of BRS and wireless communication system is named as BRS-MIMO-OFDM. Finally, the performance of biometric trait recognitions is calculated in terms of accuracy, precision, recall, sensitivity, specificity, false acceptance and false rejection rate. Meanwhile, the MIMO-OFDM is analyzed in terms of Mean Square Error, Peak Signal to Noise Ratio (PSNR) and Bit Error Rate (BER).
Accuracy Biometric recognition system Error correcting code based support vector machine Hybrid feature extraction KNN based genetic algorithm
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