Title : 
A hardware polynomial feature net for handprinted digit recognition
         
        
            Author : 
Rao, A. ; Anderson, P.G. ; Gaborski, R.S. ; Jaiswal, K.S.
         
        
            Author_Institution : 
Eastman Kodak Co., Rochester, NY, USA
         
        
        
        
        
        
            Abstract : 
The potential market for document processing systems makes it desirable to implement character recognition algorithms in low-cost, mass-produceable integrated circuits. This paper describes the hardware implementation of an algorithm which has excellent recognition accuracy and is simple in design. An automatic layout method, performance on a standard data set, SPICE simulation results and quantization issues are discussed
         
        
            Keywords : 
character recognition; document image processing; neural nets; SPICE simulation; character recognition; document processing systems; handprinted digit recognition; neural nets; polynomial feature net; quantization;
         
        
        
        
            Conference_Titel : 
Artificial Neural Networks, 1993., Third International Conference on
         
        
            Conference_Location : 
Brighton
         
        
            Print_ISBN : 
0-85296-573-7