Biometric Image Analysis in Enhancing Security Based on Cloud IOT Module in Classification Using Deep Learning- Techniques

Abstract

In several industries, like internet banking and secure file storage, biometric authentication is expanding. Spoof fingerprint detection is a crucial component utilised to identify accurate fingerprint analysis. This research proposes novel technique in biometric image analysis based on secure cloud internet of things (IoT) by classification with segmentation using deep learning techniques. here the input image has been collected as biometric image using cloud IoT module and processed for noise removal, smoothening and normalization. The processed image has been segmented using histogram equalization with mask convolutional neural network. The experimental analysis is carried out in terms of accuracy, precision, recall, F_1 score and RMSE. When compared to existing methods, this suggested solution shows a 2.5% reduction in mistake rate.