Authors: Ms J. Alfreena, Professor Dr. F. Ramesh Dhanaseelan, Associate Professor Dr. M. Jeya Sutha
Abstract: Fingerprints are widely used in security, healthcare, and criminal investigations for identification. Slap fingerprint images, which capture multiple fingerprints in one scan, improve accuracy but are hard to process due to different angles, background noise, and small fingerprint sizes. This system includes Clarkson Rotated Fingerprint Segmentation that accurately detects and labels fingerprints using bounding boxes. It performs better than traditional systems like National Fingerprint Segmentation, handling rotated images effectively and feature extraction with the Canny edge detection algorithm to accurately detect fingerprint edges. These advancements reduce errors, improve real-time scanning, and enhance fingerprint security systems. This makes fingerprint recognition more accurate and adaptable across different conditions.
DOI: https://doi.org/10.5281/zenodo.15833678
