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 155 tok/s
Gemini 2.5 Pro 51 tok/s Pro
GPT-5 Medium 21 tok/s Pro
GPT-5 High 30 tok/s Pro
GPT-4o 115 tok/s Pro
Kimi K2 184 tok/s Pro
GPT OSS 120B 427 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Genetic Programming Framework for Fingerprint Matching (0912.1017v1)

Published 5 Dec 2009 in cs.CR, cs.CV, and cs.MM

Abstract: A fingerprint matching is a very difficult problem. Minutiae based matching is the most popular and widely used technique for fingerprint matching. The minutiae points considered in automatic identification systems are based normally on termination and bifurcation points. In this paper we propose a new technique for fingerprint matching using minutiae points and genetic programming. The goal of this paper is extracting the mathematical formula that defines the minutiae points.

Citations (3)

Summary

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

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in 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.