As an important step of fingerprint image preprocessing, fingerprint segmentation which has a great significance in the system performance can not only improve the accuracy of the feature extraction, but also reduce the time of fingerprint preprocessing. This paper mainly investigates the theory and methods of fingerprint image segmentation, and some of the segmentation methods
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The recognition rate of the single-mode biometric identification will decline rapidly for the changes or deteriorations about identify environment. In this paper, the multi-modal biometric fusion personal identification which based on fingerprint and name speech has been proposed so as to improve the identification rate and adapt to poor recognition environment. this paper has discussed
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Wireless location technology is widely used in public safety, road assistance and navigation, asset management and staff tracking. In recent years, with the popularity of intelligent terminals, such as mobile phones, and the wide coverage of WLAN, it is possible to locate the mobile terminals. As the building block makes the GPS-based and mobile station-based
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The texture is a very important visual property of the object surface, the surface of different objects will generate different texture, it playes an important role in object recognition and image analysis. For example, in remote sensing image analysis, document processing, image retrieval, industrial surface inspection and other fields so on, the texture analysis play
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In recent years, automatic fingerprint identification technique has been a research focus in the area of science. Many researchers have done much work on fingerprint identification. But some technical difficulties always baffle the development of fingerprint identification. Fingerprint segmentation is an important step in fingerprint recognition and is usually aimed to identify non-ridge regions and
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In recent years, automatic fingerprint identification technique has been a research focus in the area of science. Many researchers have done much work on fingerprint identification. But some technical difficulties always baffle the development of fingerprint identification. Fingerprint segmentation is an important step in fingerprint recognition and is usually aimed to identify non-ridge regions and
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In recent years, the technique of automatic fingerprint identification has been a research focus in academia. Many researchers have done much work on fingerprint identification. But until now, some technical difficulties have always been baffling the development of fingerprint identification, such as the pre-processing and matching of low-quality fingerprints. Consequently, the analysis and measure of
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Automation fingerprint recognition system is hotspot of biometrics recognition,and fingerprint classification is one of key technology in fingerprint recognition.In large fingerprint database,it is time consuming that the input fingerprint compared with the reference fingerprints in database.In order to reduce searching time and complexity of calculation,reference fingerprints in database are classified into several classes,and are put
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Fingerprint has two properties, namely, uniqueness and permanence, which has made fingerprint identification a more and more widely used tool in security and law enforcement applications. Generally, fingerprint features are categorized into three levels. Level one are patterns of the fingerprint, depicting the global features of fingerprint; level two are local features, such as ridge
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Fingerprint recognition technology is one of the most significant and reliable identification methods as it is unique and invariable.With the development of computer science,fingerprint recongition has extensive outlook servicing people .It is widley used in the field of international trade,criminal,act and a course of justice.So the research of an automatic fingerprint identifiaction system（AFIS）has important technical
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