FPGA Based LIRA Neural Classifier

Neural networks can be used for image classification. They are powerful instruments in image and pattern recognition because they have following advantages: parallel structure, training in the process of the classifier preparation, and possibility to implement them as an electronic circuit. A special type of neural classifier, LIRA (Limited Receptive Area) neural classifier, has been developed and used to solve different tasks, for example, handwritten digit recognition, face recognition, texture and shape recognition, etc. It is important to reduce the time of system work so the neural classifier was implemented in a FPGA device.