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Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri

机译:智能生物安全门锁系统/ Nur Nadia Syahirah'Asri

摘要

Biometric technology which can be used to recognize an individual’s identity based on his or her behavioral or physiological characteristics has become one of the most publicized authentication method. Fingerprint authentication has been chosen among other biometric technologies such as hand geometry, keystroke, hand vein, face recognition, iris recognition, signature, voice recognition and gait due to its uniqueness. Besides that, fingerprint has high performance, high distinctive and only requires short processing time. This study uses biometric technology which is fingerprint authentication implemented for door locking system as people nowadays need security systems in every single aspects especially for home security. This system does not require the use of smart card or even password to remember. Furthermore, the system was developed using Fingerprint Matching Algorithm (FMA), Image Processing technique and embedded programming technique. Visual Studio has been used in order to code the program in C#. In addition, some research has been made through observation as well as referring to the published materials and the existing application of fingerprint and Raspberry Pi. In this paper, Rational Unified Process (RUP) is being used in order to accomplish a perfect result and ensure that the objectives of the project can be achieved. This methodology is chosen because it is suitable for small development teams. There are four phases involved which are inception, elaboration, construction and lastly, transition. As expected, the algorithm applied in this project is effective and can help users to increase their home security level. In conclusion, this project was a success and satisfied all scopes required.
机译:可用于根据个人的行为或生理特征识别其身份的生物识别技术已成为最广为人知的身份验证方法之一。由于其独特性,已经在其他生物识别技术中选择了指纹认证,例如手部几何形状,击键,手静脉,面部识别,虹膜识别,签名,语音识别和步态。除此之外,指纹具有高性能,高个性和仅需很短的处理时间。这项研究使用了生物识别技术,该技术是为门锁系统实施的指纹认证,因为当今人们在各个方面都需要安全系统,尤其是在家庭安全方面。该系统不需要使用智能卡甚至密码即可记住。此外,该系统是使用指纹匹配算法(FMA),图像处理技术和嵌入式编程技术开发的。为了使用C#编写程序,已使用Visual Studio。此外,通过观察以及参考已出版的材料以及指纹和Raspberry Pi的现有应用程序进行了一些研究。在本文中,使用Rational Unified Process(RUP)来获得完美的结果并确保可以实现项目的目标。选择这种方法是因为它适用于小型开发团队。涉及四个阶段,即初始,详细,构建和最后的过渡。不出所料,该项目中应用的算法是有效的,可以帮助用户提高其家庭安全级别。总之,该项目是成功的,并且满足了所有要求的范围。

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    ‘Asri Nur Nadia Syahirah;

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  • 年度 2017
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