Contactless Print Capture

2D Image Database Indexing: a coefficient-based approach/h1> by Xiaoqian Jiang, Wanhong Xu, Yiheng Li, Latanya Sweeney, Ralph Gross, and Daniel Yurovsky.

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%.

Keywords: image processing, machine learning, fingerprints, palm prints, hand geometry, contactless capture, friction ridge capture

Citation:
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).

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