Summary of A Robust Algorithm For Contactless Fingerprint Enhancement and Matching, by Mahrukh Siddiqui et al.
A Robust Algorithm for Contactless Fingerprint Enhancement and Matching
by Mahrukh Siddiqui, Shahzaib Iqbal, Bandar AlShammari, Bandar Alhaqbani, Tariq M. Khan, Imran Razzak
First submitted to arxiv on: 18 Aug 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The novel contactless fingerprint identification solution enhances accuracy in minutiae detection through improved frequency estimation and a new region-quality-based minutia extraction algorithm. Additionally, the proposed method introduces efficient and accurate minutiae-based encoding and matching algorithms. Experimental testing on the PolyU contactless fingerprint dataset demonstrates superior performance with an Equal Error Rate (EER) of 2.84%, outperforming existing state-of-the-art techniques. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study proposes a new way to identify people from their fingerprints without touching the device. The problem is that these images have less detail and are harder to work with than traditional fingerprint images. The solution uses special algorithms to improve image quality and match fingerprints correctly. This method performs well on a large dataset, beating existing methods in accuracy. |
