Handwritten character recognition system based on fourier and wavelet transforms
Abstract:The problem of handwritten recognition is considered to be very important problem because of its numerous applications and theoretical values in the domain of pattern recognition. This thesis presents a design to an off-line handwritten recognition system. It is designed to recognize handwritten styles of Latin script. The recognition responsibility of the proposed system is for 62 character classes [uppercases (A-Z), lowercase (a-z) and digits (0-9)]. The suggested system includes the essential stages needed for most of the pattern recognition systems.