Intelligent handwriting Thai Signature Recognition System based on artificial neuron network

Author

Chumuang, Naruemol ; Ketcham, Mahasak

Author_Institution

Dept. of Inf. Technol., King Mongkut´s Univ. of Technol. North Bangkok, Bangkok, Thailand

fYear

2014

fDate

22-25 Oct. 2014

Firstpage

1

Lastpage

6

Abstract

This paper proposes an Intelligent Handwriting Thai Signature Recognition System base on Multilayer Perceptron and Radial Basis Network. The proposed system compose of three main processes, i.e. image pre-processing, feature extraction and Thai signature recognition. In the recognition processes the neural network is used into two stage. First, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) is used to learning handwriting Thai signature and then the trained network will be used for recognizing. Later, RBF is used to decision in final stage. There are 600 images from 10 writers in this experiment then the experimental results show that the proposed method yielded the satisfied results.

Keywords

feature extraction; handwriting recognition; image recognition; multilayer perceptrons; radial basis function networks; text detection; MLP; RBF; artificial neuron network; feature extraction; handwritten text recognition; image preprocessing; intelligent handwriting Thai signature recognition system; multilayer perceptron; radial basis function network; Biological neural networks; Feature extraction; Handwriting recognition; Neurons; Standards; Training; Vectors; Back Propagation Algorithm; Multilayer Perceptron; Neural network; Radial Basis Function; Recognition; Signature; component;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2014 - 2014 IEEE Region 10 Conference

Conference_Location

Bangkok

ISSN

2159-3442

Print_ISBN

978-1-4799-4076-9

Type

conf

DOI

10.1109/TENCON.2014.7022415

Filename

7022415