A THEORETICAL APPROACH OF BIOMETRICS BASED STUDENT MANAGEMENT

A THEORETICAL APPROACH OF BIOMETRICS BASED STUDENT MANAGEMENT

Srikajan, S;Vithusha, U;Kamsavathana, S;Harthiyayini, R;Susana, J;Jerin, A;Thiruthanigesan, K;
ictact journal on soft computing 2018 Vol. 9 pp. 1794-1805
338
srikajan2018aictact

Abstract

A Theoretical Approach of Bio-Metrics Based Student Management System is an efficient and effective management system for the student’s record maintenance. The proposed study was developed with the available technology of C#, .Net and MS SQL Database. In the current era, the biometric technologies were used in various fields such as Institutions, Universities, and Training centers, Organizations, and Bank. Biometrics touch application were especially for authentication purposes. The traditional system was difficult to maintain the data in the proper way. The administration faces several complex situations for record keeping of the teachers, students, examinations and attendance making. The system faces many difficulties when managing the students. All the departments provide various records regarding students. This information could be the general details like student name, address, performance, attendance and specific information related to departments like a collection of data relevant to the student. All the modules in administrations were interdependent. If they maintained the records manually for example, when a student needs his course completion certificate it needs to check many details about the student like his name, register number, year of study, exams, he attended and many other details, so it needs to contact all the modules that are once, department and examination and result of students. A theoretical approach of Bio-metrics based Student Management has overhauled the existing system and made necessary improve the processes.

Citation

ID: 71627
Ref Key: srikajan2018aictact
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
71627
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet