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The Research Of Texture-based Computer Handwriting Recognition Algorithm

Posted on:2011-06-07Degree:MasterType:Thesis
Country:ChinaCandidate:F YuFull Text:PDF
GTID:2166360305481299Subject:Investigation
Abstract/Summary:PDF Full Text Request
From the 60s of last century, computer-assisted handwriting studies began. At that time, the Soviet Union in 1966, several researchers have published a computer lottery of the study, when they used approach is to extract the skeleton from the Russian character of some representative points as the feature, using the Russian language the letter "K" as the experimental samples, were given a 75% identification accuracy. By the late 70s, early 80s, computer-assisted handwriting identification of research and development has evolved into a craze. The former Federal Republic of Germany which is chaired by the Department of Criminal Technology developed computer networking handwriting identification system most affected. The project has a large number of experts and scholars participated in the research, large investment and lasted long, but also received a series of effective methods. As the language's origins, the Japanese system more appropriate to the situation in China, and Japanese scholars published literature in this area are more the number, quality is also relatively high, is worth learning from.China's current level of technology in the text of review in the world is also the leading, especially in the handwriting identification of this area. From the 90s of the last century, Chinese Academy of Sciences, Beijing Character Recognition Laboratory and Institute of Criminal Science and Technology started a computer-aided study of handwriting identification, then after the large number of domestic experts and scholars and research institutions are dedicated to handwriting identification of computer systems development, and achieved some results, but really involved in the widely-used up to now very few. At present, the traditional manual by a handwriting expert for the working methods of handwriting identification has been difficult to meet the current workload of the handwriting identification requirements. In computer technology, the Internet and digital imaging technology widely used today, handwriting identification of the work should also be using the technological advantages of digital technology, information and network. Therefore, we need to identify the handwriting on the relevant aspects of the computer-depth research.This introduction and is divided into five other major parts:the first part is based on the general texture of the computer handwriting identification algorithm and current research status and overview of the problem; the second part of the main Analysis of a computer handwriting identification system composition; third part of the is the handwriting image preprocessing algorithm Analysis; fourth part of the analysis of the handwriting feature extraction algorithm; Finally, texture-based algorithm is an overview of the computer analysis of handwriting.
Keywords/Search Tags:Handwriting Identification, Computer Algorithms, GABOR Theory, Wavelet Transform
PDF Full Text Request
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