Title :
Acquire the Affine Transformation Coefficients in the Chinese Character Intelligent Formation
Author :
Liu, Mingyou ; Duan, Chengsen ; Pi, Youguo
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
In the Chinese character intelligent formation, the same basic element has different position, size and shape in different Chinese characters. The transformation from the basic element to the Chinese character can be realized by affine transformation, and a novel approach was proposed to acquire the transformation coefficients of basic elements. The interested region was determined based on the structure of Chinese character, scale invariant and location invariant was extracted with SIFT features; meanwhile, rotation invariant was removed. The matched points was determined by Euclidean distance of eigenvectors, the best of three pairs non-collinear points were selected by using particle swarm optimization (PSO) algorithm which take normalized correlation coefficient as fitness function. 27533 Chinese characters in National Standards GB18030-2000 character set were taken as the experimental subject. Finally, the experimental processes and results were given in this paper.
Keywords :
affine transforms; character recognition; eigenvalues and eigenfunctions; feature extraction; particle swarm optimisation; Chinese character intelligent formation; Euclidean distance; National Standards GB18030-2000 character set; PSO algorithm; SIFT features; affine transformation coefficients; eigenvectors; fitness function; location invariant; normalized correlation coefficient; particle swarm optimization; scale invariant; Automation; Educational institutions; Euclidean distance; Feature extraction; Information processing; Intelligent structures; Libraries; Particle measurements; Particle swarm optimization; Shape; Chinese character intelligent information; PSO; SIFT; affine transformation;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.153