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首页> 外文会议>International Conference on Cybernetics and Information Technologies, Systems and Applications(CITSA2004) and 10th International Conference on Information Systems Analysis and Synthesis(ISAS2004) vol.1 >Biometrics Application Development in Scripting Language
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Biometrics Application Development in Scripting Language

机译：脚本语言的生物识别应用程序开发

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摘要

Scripting languages such as Perl, Tcl and Python have gained much popularity among the programmers. The salient reasons for this popularity are the ease, power and simplicity of the scripting languages. Scripting languages are designed as "System Integration" or "Gluing" languages that give more rapid application development than system programming language like C or C++. This paper shows how scripting languages like Python can be used to speed up biometrics application development. We converted a compiled biometrics library written in C into an interpreted Python module (pyfinger) in order to speed up application development or research in biometrics. We also compared performance between the traditional biometrics enabled application development and our approach of software development where we exploited the advantages of both scripting languages and compiled languages.
机译：诸如Perl，Tcl和Python之类的脚本语言已在程序员中大受欢迎。引起这种流行的主要原因是脚本语言的易用性，强大性和简单性。脚本语言被设计为“系统集成”或“粘合”语言，比诸如C或C ++的系统编程语言可提供更快的应用程序开发。本文展示了如何使用脚本语言（如Python）来加速生物识别应用程序的开发。我们将用C编写的已编译生物识别库转换为解释的Python模块（pyfinger），以加快生物识别的应用程序开发或研究。我们还比较了传统生物识别技术启用的应用程序开发和我们的软件开发方法之间的性能，在这种方法中，我们利用了脚本语言和编译语言的优势。

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