Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:M2-5
Session:
Number:M2-5-3
Evolution of Contours for Shape Recognition
Ukrit Watchareeruetai, Kriangkrai Phanjan ,
pp.207-210
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
This paper proposes an evolutionary method for constructing contour feature extraction programs for shape recognition. The proposed method adopts a variant of genetic programming (GP), called linear GP, to optimize the performance of programs. Linear GP used in this paper requires two types of registers: 1) numerical registers and 2) contour registers. Consequently, the contour of an object which is stored in a contour register can be processed to produce some features and also be transformed by some primitive operators to generate another contour. During evolutionary process, an input contour is evolved and, hopefully, its useful features are then extracted. Preliminary results show that the proposed method can automatically construct a contour feature extractor for a leaf recognition problem, with an accuracy of 90%.