Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 166 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 26 tok/s Pro
GPT-5 High 22 tok/s Pro
GPT-4o 88 tok/s Pro
Kimi K2 210 tok/s Pro
GPT OSS 120B 461 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Automatic Fingerprint Recognition Using Minutiae Matching Technique for the Large Fingerprint Database (1304.2109v1)

Published 8 Apr 2013 in cs.CV

Abstract: Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system. Because minutiae matching are certainly the most well-known and widely used method for fingerprint matching, minutiae are local discontinuities in the fingerprint pattern. In this paper a fingerprint matching algorithm is proposed using some specific feature of the minutiae points, also the acquired fingerprint image is considered by minimizing its size by generating a corresponding fingerprint template for a large fingerprint database. The results achieved are compared with those obtained through some other methods also shows some improvement in the minutiae detection process in terms of memory and time required.

Citations (12)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.