Abstract
The objective of this paper is to present a real-time mechanism for recognition of different objects using Spatiognitron neural network technology. Spatiognitron is based on a biological neural structure and the theory described in this paper presents what are known as Time Delay Neural Networks (TDNN). These are fields which enable the recognition of different features in the input object. The approach was verified by qualitative recognition process tests in commercial car license plate recognition using a NeuroCar based system. A second set of tests was carried out in a laboratory environment using NeuroScope, an automatic speech recognition system.
Sign-in/Register to access full text options 
Free) 
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 call
