1. Fingerprint Recognition Professor Ostrovsky Andrew Ackerman

2. The Idea • Including Region information in minutiae matching • Reduces amount of matches need • Can help better identify matches • Also, idea of Fingerprint of Fingerprint • Run X amount of binary tests on a fingerprint and return a vector of size X. This binary vector would identify the finger print • Matching prints would have similar vectors (hamming distance) • Tests could include information about minutiae as well as regions

3. Current State • Rejected Idea of Topological Equivalence (for now). • Code Written for Region Detection • Code Written for Fingerprint Thinning • Multi Fingerprints Received • Though no Partial prints • Spring Break Checklist • Edge Enhancement code • Binarization Code

4. Code So Far • Thinning code • Code to take in a binary object and “thin” it. • However, still bugs in code as well as “spurious” minutiae (minutiae created in thinning process)

5. Region Detection Code • Works in O(n*m) – small constant in front • Colors in regions

6. To do Spring Quarter • Test idea against database of fingerprints • Idea: Number of regions between matching minutiae will be similar • Write up results of Test • If time: • Explore idea of fingerprint of fingerprint • See if idea works for partial prints

7. Assessment of Work • In all I think a good deal of work was done towards the project. Its seems most of the time was spent coming up with a novel idea that could be tested. I feel this project can easily be wrapped up by the end of spring quarter with a paper on the findings when including regions into the minutiae matching model of fingerprint recognition.