• Deepika Nain
• Gaurav Gautam

Fingerprints have been the most recognized tool for personal identification for many decades. It is also a valuable instrument for law enforcement and forensics for over a century, motivating study in automated finger printing-based detection, biometric system application. The matching or identification accuracy with fingerprints has been shown to be very high. In studying statistics, the concept of the uniqueness of fingerprint details leads to reliable extract of the detailed characteristics. Latent fingerprints (reflecting the impressions left unintentionally on articles processed or touched by the finger) are important for law enforcement agencies. In comparison to live scans and fingerprints, the image quality of latent fingerprint prints is much less, with complicated background photos, uncomfortable rim structure and even pattern overlapping. In this project, an sophisticated technique is suggested to determine minutiae of the end and ridge fork of a fingerprint with advance dilution and extraction operation. For the improvement and recognition of poor latencies. Input and improvement in the picture first, a solid orientation field estimation algorithm is required. The method of enhancement is based on the estimated local screen and fingerprint frequency. Following this sophisticated thinning extraction technique, the improved picture is implemented. Dumb matrices are developed for allocating the ridge and fork. The assigned dummy matrices are filled in a single 3D matrix to show the current place of the scrap and forks of the initial input fingerprint image. The generalized MATLAB and image processing toolbox are used for execution purposes.

Fingerprint, Minutiae, Enhancement, Recognition, Ridge

"PERFORMANCE EVALUATION OF AN ADVANCED TECHNIQUE FOR EXTRACTION OF MINUTIAE USING ADVANCED FINGERPRINT ENHANCEMENT METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.507-517, June 2019, Available :http://www.jetir.org/papers/JETIR1906V72.pdf

"PERFORMANCE EVALUATION OF AN ADVANCED TECHNIQUE FOR EXTRACTION OF MINUTIAE USING ADVANCED FINGERPRINT ENHANCEMENT METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp507-517, June 2019, Available at : http://www.jetir.org/papers/JETIR1906V72.pdf