• Atharva Hendre
• Vedant Bharvirkar
• Shubham Tarate

The idea of using biometric verification as a means of establishing one's identity has emerged as an important distinctive characteristics of privacy and secrecy. Personal identification is crucial due to the fact that numerous other security precautions may be easily circumvented. In todays era we frequently use fingerprints as a kind of biometric verification, which results in increased accuracy. Furthermore, since the invention of these kinds of accessibility control system, there has been a growing worry over the hygiene of certain instrumentation when it is employed in public places or other gates that are often used. The approach utilizes, Image Normalization, Convolutional Neural Networks and Decision Making for the purpose of achieving effective authentication of contactless fingerprints. The methodology is also examined for its effectiveness in terms of performance by means of exhaustive testing, which has produced conclusions that are quite encouraging.

Image Normalization, Convolutional Neural Networks , Decision Making

"Contactless Fingerprint Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.g82-g88, May-2023, Available :http://www.jetir.org/papers/JETIR2305613.pdf

"Contactless Fingerprint Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppg82-g88, May-2023, Available at : http://www.jetir.org/papers/JETIR2305613.pdf