• Dr. V. Sulochana
• P.Suresh
• R D.Madana Gopalan

Numerous methods are employed for fingerprint recognition, and each method is predicated on particular standards. Finding a reliable method for fingerprint recognition is the goal of this endeavor. The goal of this project is to provide a straightforward, high-performing method for fingerprint identification. This method is divided into two main phases: the actual data collecting of human fingerprint samples occurs in the first stage, and the design and implementation of a high performance fingerprint recognition method takes up the second. The applied method focused on the feature extraction phase, where high performance features are produced by applying multiple levels of the two-dimensional discrete cosine transform (2D-DCT). This strategy is carried out by combining the thumbs of the left and right fingers. The outcomes show that this method achieves a good level of recognition accuracy

OS Fingerprinting, Network Monitoring, Machine LearningBiometric recognition,Convolutional neural networks (CNN)

"A CNN-BASED FRAMEWORK FOR COMPARISON OF CONTACTLESS TO CONTACT-BASED FINGERPRINTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.a106-a111, April-2024, Available :http://www.jetir.org/papers/JETIR2404015.pdf

"A CNN-BASED FRAMEWORK FOR COMPARISON OF CONTACTLESS TO CONTACT-BASED FINGERPRINTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppa106-a111, April-2024, Available at : http://www.jetir.org/papers/JETIR2404015.pdf