ANALYSIS OF HANDWRITTEN IMAGE USING FEATURE EXTRACTION ALGORITHM OF TEXTURE IMAGES

摘要：

This method refers to the analysis of handwritten image to extract the characteristics of the image.As a part of the preprocessing stage the image is checked for noise removal, skew correction and slant removal.After preprocessing stage the text line is detected and word wise character wise segmentation is performed.The integer to integer wavelet transform is applied to the segmented image to extract the characteristics of the handwritten image.The high frequency part of the wavelet coefficients denotes the image details, the features deduced from wavelet coefficients can be used to retrieve the texture image and this method is not sensitive to luminance, these virtues cannot be found in tradition.

关键词： Preprocessing Segmentation Feature Extraction Integer to Integer wavelet transform

作者: K.K.SOUNDRA PANDIAN B.GANESAMOORTHY P.MATHIVANAN

作者单位: IIITDM Jabalpur (Estt. Ministry of MHRD,Govt. of India),Jabalpur,Madhya Pradesh,India Dept of Electronics and Communication Engineering,St. Peters University,Chennai Dept of Electronics and Communication Engineering,Sriram Engineering College,Chennai

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 467-471

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）