Automatic License Checking Using Fingerprint

Abstract

Driving license verification framework is a serious issue in many countries. therefore, the biometric based driving license verification framework is employed because it\'s exceedingly simple and beneficial to screen. Biometrics suggests approximation regarding mortal traits.Biometricsproof(or reasonable countersign) is utilized in programming as a type of ID and access control. It\'s also used to perceive individuals in groups that are in perception. Biometric identifiers are also visible, quantifiable characteristics used to marker and characterize individuals. Biometric identifiers are continually requested as physical instead of social characteristics. Physiological characteristics are related to the state of the body. Biometrics studies typically consist of discrete cutlet print, face, iris, voice, mark, and hand computation identification and authentication. Out of these open biometric features special cutlet print emerges perhaps the best point providing superior mismatch rate as well as durable. Other characters are face, iris, voice, hand, and hand figure identification varying with times but point remaining the same as age persists. Thus point becomes reliable. Through imposing this biometric rooted system i.e. point technology to identify driving license bone can rule out additional time operation to support all cars.

Introduction

A driving license authorizes an individual to operate motorized vehicles on public roads. Licensing laws vary by region, with different testing and issuance procedures. In India, Regional Transport Authorities regulate licenses, and information about license holders is stored in a centralized system. The proposed system enhances license verification by using fingerprint biometrics to authenticate drivers, reducing identity fraud and unauthorized vehicle use.

Objectives:

• Authenticate drivers by matching fingerprints with a database.

• Improve security by preventing fake or borrowed licenses.

• Integrate with smart systems for traffic monitoring and other applications.

Existing System Issues:

• Many license holders lack proper driving knowledge.

• Current processes are time-consuming, prone to human error, and require significant manual oversight.

Proposed Method:

• Use fingerprint scanners to verify driver identity against a central database.

• Employ biometric technology for reliable, quick, and secure license verification.

• Fingerprints are preferred due to their uniqueness and stability over time.

Advantages:

• Testing can be conducted anywhere.

• Reduced malfunctions and human errors.

• Promotes digitalization and efficiency.

Results and Discussion:

• Fingerprint-based verification provides a secure, cost-effective way to authenticate licenses.

• It reduces identity theft and speeds up verification compared to manual checks.

• Useful for repeated or real-time license checks.

• System logs user details, verification results, and security measures like encryption to protect biometric data.

Conclusion

The implementation of this fingerprint based license checking system is successful and gives an output with no errors. When a fingerprint of an individual is placed on the fingerprint sensor it captures the image of the fingerprint and stores in the database which is done in the enroll phase. In access phase fingerprint image is scanned and check whether the fingerprint images is matched with the stored fingerprint in database ,if fingerprint is matched then it gives the details of the authorized person on the display monitor and also in LCD. If the fingerprint of an individual is not matched with stored fingerprint in database then it does not gives the details of an individual and displays that the person is unauthorized on the display monitor and on LCD. The open source Arduino uno programming makes it simple to compose code and transfer it to the board. Two phases in scanning the fingerprint image that is Enrollment phase and Access phase, where in enrollment phase fingerprint image is captured and given with unique ID and stored in the database. This system can be further enhaced and more features can be added with the help of Artificial Intelligence

References

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Copyright

Copyright © 2025 Nithiya N, Vasupathi N, Suresh K, Vignesh V, Mohammad Tabrez Alam. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.