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Offline Chinese signature identification study

Author: FuYangHan
Tutor: ZhangYi
School: University of Electronic Science and Technology
Course: Computer Software and Theory
Keywords: Identification Signature Recognition HTM model
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 46
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Abstract


With the information technology of the modern society , the identification and validation has given rise to a wide range of research boom . Identification and verification of a person , including a variety of means , such as fingerprint recognition , iris recognition , seal of recognition and the research direction signature recognition . Signature recognition as a fast and convenient means of authentication in life is very common. Therefore, the signature authenticity of identification is very important in social life . The signature recognition is usually divided into line signature recognition and offline signature recognition . This article in-depth analysis and research of traditional Chinese line signature recognition , through the analysis of their strengths and weaknesses , HTM (Hierarchical Temporal Memory, hierarchical temporal memory ) method is introduced into the line signature recognition , and launched a series of related research and on this basis, design and implementation HOCSRS ( based the HTM off Chinese signature recognition system ) . Concludes the paper , the main work of this paper has the following four aspects : 1 . Analysis the signature identified several key technologies . It includes the signature preprocessing, feature extraction , recognition and judgment . This study of these techniques are commonly used in the classical algorithm , as well as the advantages and disadvantages of these algorithms . HTM algorithm model for these advantages and disadvantages of research , the model has a strong anti-noise ability and fault tolerance . 2 Chinese signature recognition system based on the PCNN algorithm development offline . The system signature preprocessing using a conventional algorithm , the signature image using PCNN entropy information as a feature vector , the feature vector and the template vector to the Euclidean distance calculation to obtain the signature determination result . 3 Establish a the HTM algorithm based signature recognition model . HTM network to address the feasibility of the signature recognition NuPIC platform - based specification analysis , how to represent data and HTM network creation and training . The design signature recognition HTM network topology and the connection . 4 design and completion of signature recognition system based on HTM . Discuss the various modules in the system design , the impact of several parameters of the system , given the test results of the system , and analyze the strengths and weaknesses of the system , the whole system was evaluated .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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