An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face Image

Biometrics based personal identification is regarded as an effective method for automatically recognizing, with a high confidence a person’s identity. A multimodal biometric systems consolidate the evidence presented by multiple biometric sources and typically better recognition performance compare to system based on a single biometric modality. This paper proposes an authentication method for a multimodal biometric system identification using two traits i.e. face and palmprint. The proposed system is designed for application where the training data contains a face and palmprint. Integrating the palmprint and face features increases robustness of the person authentication. The final decision is made by fusion at matching score level architecture in which features vectors are created independently for query measures and are then compared to the enrolment template, which are stored during database preparation. Multimodal biometric system is developed through fusion of face and palmprint recognition

Superscalar pipelined inner product computation unit for signed unsigned number

In this paper, we proposed superscalar pipelined inner product computation unit for signed-unsigned number operating at 16 GHz. This is designed using five stage pipelined operation with four 8 × 8 multipliers operating in parallel. Superscalar pipelined is designed to compute four 8 × 8 products in parallel in three clock cycles. In the fourth clock cycle of the pipeline operation, two inner products are computed using two adders in parallel. Fifth stage of the pipeline is designed to compute the final product by adding two inner partial products. Upon the pipeline is filled up, every clock cycle the new product of 16 × 16-bit signed unsigned number is obtained. The worst delay measured among the pipeline stage is 0.062 ns, and this delay is considered as the clock cycle period. With the delay of 0.062 ns clock cycle period, the pipeline stage can be operated with 16 GHz synchronous clock signal. Each superscalar pipeline stage is implemented using 45 nm CMOS process technology, and the comparison of results shows that the delay is decreased by 38%, area is reduced by 45% and power dissipation is saved by 32%