Efficient recognition of Odiya numerals using low complexity neural classifier
Babita Majhi, Jeetamitra Satpathy, Minakhi Rout · 2011
The paper develops an efficient but simple adaptive nonlinear classifier for recognition of handwritten Odiya numerals. The standard gradient and curvature features are extracted and nonlinearly mapped by sine/cosine expansions. These nonlinear inputs are fed to a low complexity classifier. The simulation results show excellent classification accuracy when test features are used.