• Harshal Bhamare’
• Tejasweeni Hampe’
• Atul Tekale
• Snehal Shirsath’

In present-days, the technological development in the field of data collection, processing, storing along with the field of research in pattern recognition, machine learning and deep learning serves a biometric person recognition processing fingerprint. In this work, the proposed model is a classification system to recognize and match images of fingerprints. A CNN architecture is used to develop a model for detection. The present study uses approach to ensure the performance of the system. Fingerprint recognition system used for identifies the entity who involved in the database helps to automate fingerprint identification process. Pre-processing was performed with fingerprint thinning and minutiae extraction with method. Feature extraction will be done by the CNN classifier

Image Processing, Python Language, CNN

"Detection Of Fingerprint Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.1018-1024, May-2023, Available :http://www.jetir.org/papers/JETIRFX06180.pdf

"Detection Of Fingerprint Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp1018-1024, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06180.pdf