Purpose The purpose of this paper is to incorporate a multimodal biometric system, which plays a major role in improving the accuracy and reducing FAR and FRR performance metrics. Biometrics plays a major role in several areas including military applications because of robustness of the system. Speech and face data are considered as key elements that are commonly used for multimodal biometric applications, as they are simultaneously acquired from camera and microphone. Design/methodology/approach In this proposed work, Viola‒Jones algorithm is used for face detection, and Local Binary Pattern consists of texture operators that perform thresholding operation to extract the features of face. Mel-frequency cepstral coefficients exploit the performances of voice data, and median filter is used for removing noise. KNN classifier is used for fusion of both face and voice. The proposed method produces better results in noisy environment with better accuracy. In this proposed method, from the database, 120 face and voice samples are trained and tested with simulation results using MATLAB tool that improves performance in better recognition and accuracy. Findings The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent. Originality/value The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent.

This randomized placebo controlled study was designed to evaluate the effectiveness of magnesium sulphate as an agent to induce hypotensive anaesthesia in lumbar spine surgery. Material and Methods: The study included 100 patients of both sexes who were equally distributed in two groups, the Group Mg(Magnesium sulphate group) and Group C (control group). The Magnesium group received magnesium sulphate 40mg/kg administered as a slow IV bolus over a period of 10 minutes before induction and 15mg/kg/hr by continuous IV infusion during surgery. The same volume of isotonic saline was administered to the control group. Surgical time, heart rate and mean arterial blood pressure was measured. Results: In the magnesium group there was reduction in surgical time (103.54 mins vs 117.34 mins), although the anaesthestic time was 9 minutes longer in the Magnesium group denoting a longer emergence time. The mean arterial pressure and heart rate were significantly reduced in Magnesium group(p<0.005). Postoperative shivering was also less in Magnesium group. Conclusion: Magnesium infusion resulted in a steady and smooth reduction in mean blood pressure and reduced heart rate, with no episodes of severe hypotension. Furthermore magnesium causes reduction in duration of surgical time and postoperative shivering.