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Frequency Induction Logging Tool Receiver Front-end Circuit Design

Posted on:2008-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2190360212499553Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
As the form of credit system of Chinese society, seal is very important for this. By the development of technology, the producing techniques have a great improvement. With this improvement, the difficulty of fake seal recognition is also being higher and higher and the validity of traditional manual comparison is greatly low. Thus the automatic computer identification research arose. Automatic seal identification belongs to pattern recognition domain and includes seal segmentation, seal registration, feature extraction and feature identification these steps. Recently, some good research results have been applied in practice. But because of the complexity of seal images, there are still many problems need to be resolved.According to research, we have proposed a new method, applying the Pulse Couple Neural Network (PCNN) in automatic seal identification. By using the auto wave character of PCNN, this method can locate the seal in the image. After we get the location of the seal imprint we can obtain the available critical color information of the seal imprint itself and segment seal texture from the image efficiently by using the accurate threshold. At the same time we also applied the Principal Components Analysis (PCA) neural network in seal registration successfully. The PCA can obtain the approximate direction of the seal imprint by using the global distribution of the image pixels of seal imprint. After this it can use the local search method for precisely registration and get a very good result.To validate the PCNN and PCA methods in practice, we did the simulation by using the real seal images and PCNN and PCA in MATLAB. Through the experiment, the PCNN method is efficient, it can segment seal texture from the whole seal image precisely and PCA method can also register the seals precisely. This will helpful to the subsequent steps. Furthermore, to integrate the methods in a practical applied environment, we have designed and implemented an Intelligent Seal Identification System (IntelliSIS), it will introduce the details of system framework, implementation and system performance in this article.
Keywords/Search Tags:Pulse Couple Neural Network, Principal Components Analysis, Intelligent Seal Identification System
PDF Full Text Request
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