|
|
|
|
|
Contactless Print Capture |
Keywords: image processing, machine learning, fingerprints, palm prints, hand geometry, contactless capture, friction ridge capture
Citation:
Abstract
The problem investigated in this paper is the quick identification
of free-form 2D objects using a coefficient based indexing
technique. We demonstrate that combining implicit
polynomial shape descriptors with calibration techniques has
the potential to quickly identify images of similar shapes. As
a pilot experiment, our approach is evaluated against a small
database consisting of 15 images, with three different images
from five categories. The index system achieves an overall
Top-3 matching accuracy of 88.9% comparing to 91.1% of
the traditional brutal force method on the same database with
a computational cutoff of 67.7%.
Xiaoqian Jiang, Wanhong Xu, Yiheng Li,
Latanya Sweeney,
Ralph Gross, and Daniel Yurovsky.
2D Image Database Indexing: a coefficient-based approach.
IEEE International Conference on Multimedia and Expo (ICME), Beijing, China, July 2007.
(PDF).
Related Links