NanoAI team is developing a contactless and smart palm-based recognition system for multipurpose applications. The database is collected and processed for the best recognition accuracy. Region of Interest (RoI) from the real-time image is extracted using modified algorithms (name specific) followed by feature extraction. A deep neural network model is trained that is responsible for real-time image feature extraction and matching with the existing dictionary of subjects. The system is robust to detect a huge number of features depending on the application. The acquired image quality and accurate ROI segmentation are ensured for more reliable identity authentication.

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