Chapter 18: Neuromorphic vision networks for face recognition

Akshay Kumar Maana; Alex Jamesb    aGriffith University, Brisbane, QLD, AustraliabIndian Institute of Information Technology and Management, Kerala, India

Abstract

This chapter proposes a new hardware-based implementation of real-time face-recognition application that is inspired by the cortical neuron firing in the human brain. The face-recognition method presented here can detect and store the most relevant data at the sensor. Then, in contrast to the software approaches, it uses the proposed memristive threshold logic network of reconfigurable cells to build a fast, robust, parallel and scalable architecture for storage and detection of most relevant pixel information. The main idea ...

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