E-Sign Detector: Image Steganography-Based Employee Identification System

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dc.contributor.author Senthooran, V.
dc.contributor.author Chathuranga, M. T.
dc.contributor.author Kartheeswaran, T.
dc.date.accessioned 2022-05-31T12:18:37Z
dc.date.available 2022-05-31T12:18:37Z
dc.date.issued 01-06-16
dc.identifier.uri http://drr.vau.ac.lk/handle/123456789/208
dc.description.abstract This paper aims to develop a desktop application system called E-Sign detector using image steganography. It targets to fulfill the requirements of small and medium size companies to identify their employers through a specially designed embedded picture employee ID card. This employee ID card will be able to track the employee when he/she is attempting to enter through a doorway of the company. Hence, this will be highly advantageous for small companies where it is needed to grant special privileges to a certain number of officers to enter a high defensive area. This application will be a real-time system with higher reliability that saves time and decreases the manpower usage and provides higher security. Through this system, the company can mark the time at which an employee is accessing a certain place and leaving that place, and maintain daily attendance automatically. Finally, we argue that the proposed system will be a good substitution for the replacement of manual employee identification system as we have implemented and solved the drawbacks found in a manual employee identification system. en_US
dc.language.iso en en_US
dc.publisher IUP Publications en_US
dc.subject Image steganography en_US
dc.subject Employee ID en_US
dc.subject Cryptography en_US
dc.subject LSB en_US
dc.subject Encryption en_US
dc.subject Decryption en_US
dc.title E-Sign Detector: Image Steganography-Based Employee Identification System en_US
dc.type Article en_US
dc.identifier.journal IUP Journal of Information Technology en_US


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