Abstract
As more and more fast hardware neural networks become available, greater attention should be given to the sensory front ends of these networks. In this paper, we introduce an artificial retina device and show how it can be used as a visual front end for neural networks. Our device can perform many different preprocessing operations on projected images, it features a high processing speed, and it has a parallel output port which can easily be connected to a hardware neural network. Experimental results demonstrating the performance of systems for feature extraction, image compression, and the recognition of characters from a phonetic Japanese alphabet are also provided.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
