Handwritten Character Recognition Using Elastic Matching Based On Class-Dependent Deformation Model

For handwritten character recognition, a new elastic image matching (EM) technique based on a class-dependent deformation model is proposed. In the deformation model, any deformation of a class is described by a linear combination of eigen-deformations, which are intrinsic deformation directions of the class. The eigen-deformations can be estimated statistically from the actual deformations of handwritten characters. Experimental results show that the proposed technique can attain higher recognition rates than conventional EM techniques based on class-independent deformation models. The results also show the superiority of the proposed technique over those conventional EM techniques in computational efficiency

Sistema de processamento automático de cheques portugueses

Estágio realizado no INESC-Porto e orientado pelo Eng.º Pedro Miguel CarvalhoTese de mestrado integrado. Engenharia Electrotécnica e de Computadores - Major em Telecomunicações. Faculdade de Engenharia. Universidade do Porto. 200