Title :
Digital hardware implementation of Self-Organising Maps
Author :
Cutajar, M. ; Gatt, E. ; Micallef, J. ; Grech, I. ; Casha, O.
Author_Institution :
Dept. of Microelectron., Univ. of Malta, Msida, Malta
Abstract :
In this paper a digital hardware implementation of the Self-Organising Maps (SOMs) for the application of handwritten digit recognition is presented. Two methods were implemented: Euclidean and Manhattan method. The highest recognition rate for both methods was calculated through three testing techniques. The highest recognition rates obtained are 71.267% and 63.667% for the Euclidean and the Manhattan methods respectively. Both methods were implemented on the Xilinx Spartan-3 200K gates (XC3S200) to compare their speed performance and area consumed.
Keywords :
handwritten character recognition; self-organising feature maps; Euclidean method; Manhattan method; Xilinx Spartan-3 200K gates; digital hardware implementation; handwritten digit recognition; self-organising maps; Handwriting recognition; Hardware; Microelectronics; Neural networks; Neurofeedback; Neurons; Pattern recognition; Testing; Trade agreements; Writing;
Conference_Titel :
MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference
Conference_Location :
Valletta
Print_ISBN :
978-1-4244-5793-9
DOI :
10.1109/MELCON.2010.5476361
