使用生物特征的转录验证系统

Zahraa T. Al Ali, Ahmad M. Al Kababji, Mohammad B. Shukur
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引用次数: 0

摘要

近年来,成绩单和确认书的审核成为高校、研究机构和组织的重要问题之一。这一问题的产生是由于许多程序和现代技术的传播,使伪造者能够伪造成绩单和确认,而这些成绩单和确认无法被注册人员识别,如何为机构或其他实体工作。因此,实体有必要确保原始来源的抄本、确认书或其他文件的有效性。在本文中,我们设计了一个可以由不同实体使用的成绩单验证系统,以减少根据数据库中保存的信息进行成绩单验证所需的时间。该系统已支持图形用户界面(GUI),使系统尽可能容易被用户使用。该系统采用基于神经网络的离线签名验证方法对抄本上已有的签名进行验证,并与数据库进行比对,同时采用回归方法对抄本上已有的照片进行验证,以提高可靠性。通过对真实签名的高接受率和对伪造签名和随机签名的高拒绝率,证明了该系统的可靠性。
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Transcript Validation System using biometric characteristics
Recently transcripts and confirmations verification become one of the important issues for universities, institutes and organizations. This problem arises due to the spread out of many programs and modern technologies that allows the forgers to forge transcripts and confirmations which cannot be recognized by registrar persons how work for institutions or other entities. So, it becomes necessary for the entities to insure the validation of transcripts, confirmations or other documents from the original source. In this paper, we design a transcript validation system that can be used by different entities to reduce the time required for transcripts verification based on the information saved in a database. The system has been supported by a Graphic User Interface (GUI) to make the system as easy as possible to be used by users. The system works to verify the existing signatures on the transcript and compare them with the database by using offline signature verification depends on neural network method, also the system verifies the existing photo on the transcript using regression method in order to increase the reliability. The system has proven its reliability through high acceptance ratio of the genuine signatures and high rejection ratio for forged and random signatures.
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