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基于不变矩和BP神经网络的剪纸纹样识别
引用本文:李国祥,张显全,秦芳远.基于不变矩和BP神经网络的剪纸纹样识别[J].计算机工程与应用,2010,46(29):158-160.
作者姓名:李国祥  张显全  秦芳远
作者单位:1.广西师范大学 计算机科学系,广西 桂林 541004 2.广西财经学院 计算机与信息管理系,南宁 530003
基金项目:广西自然科学基金,重庆市教委研究项目,广西教育厅项目,广西研究生教育创新计划项目
摘    要:针对剪纸纹样艺术夸张变形的特点,将剪纸图像进行预处理,提取7个不变矩作为剪纸纹样的特征向量,采用LM算法优化BP神经网络,通过归一化后的不变矩对BP神经网络进行训练,应用训练后的神经网络作为分类器对剪纸纹样进行模式识别,实验证明该方法能够较好地识别有一定艺术变形的剪纸纹样。

关 键 词:不变矩  BP神经网络  特征提取  纹样识别
收稿时间:2009-3-5
修稿时间:2009-4-27  

Paper cut-out patterns recognition based on moment invariants and BP neural network
LI Guo-xiang,ZHANG Xian-quan,QIN Fang-yuan.Paper cut-out patterns recognition based on moment invariants and BP neural network[J].Computer Engineering and Applications,2010,46(29):158-160.
Authors:LI Guo-xiang  ZHANG Xian-quan  QIN Fang-yuan
Affiliation:1.Department of Computer Science,Guangxi Normal University,Guilin,Guangxi 541004,China 2.Department of Computer and Information Management,Guangxi University of Finance and Economics,Nanning 530003,China
Abstract:According to the characteristics of paper cut-out patterns exaggerative deformations,the seven moment invariants can be used as the eigenvector after the pretreatment of paper cut-out patterns image.The seven moment invariants normalized are input into BP neural network based on Levenberg-Marquardt algorithm and the trained network is used to be a elassifter to realize the image pattern recognition.Experiments show that a relatively good recognition performance can be achieved to recognize paper cut-out patterns of exaggerative deformations.
Keywords:moment invariants  BP neural network  feature extraction  patterns recognition
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