• K. Rachana
• B. Manasa
• U. Bhavana
• G. Shekar

This script facilitates fingerprint authentication via the SIFT algorithm. Users pick a fingerprint image, which the script then compares against a collection of stored fingerprint images. Using SIFT, it identifies and describes unique features (keypoints) in both the input and stored images. For each stored fingerprint, the script computes matches between the input and stored keypoints. If enough matches are found, indicating significant similarity, the script proceeds to perform homography and displays the matching keypoints. Successful matches grant access. FLANN is used for efficient keypoint matching and homography calculation. Access is granted upon successful match; otherwise, an error message indicates unauthorized access. This serves as a foundational example for biometric security and access control, with potential for further development.

Biometric Security, Access Control, Image Matching, Feature Descriptor, Error Handling

"An Innovative Template Solution for Securing Authentication in Resource-Constrained IoT Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.o66-o71, April-2024, Available :http://www.jetir.org/papers/JETIR2404F11.pdf

"An Innovative Template Solution for Securing Authentication in Resource-Constrained IoT Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppo66-o71, April-2024, Available at : http://www.jetir.org/papers/JETIR2404F11.pdf