Transcript Validation System using biometric characteristics

Abstract

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.