September 2004
Intermediate to advanced
496 pages
13h 57m
English
Content preview from Biometric Authentication: A Machine Learning ApproachBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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10.1. Introduction
Various research studies have suggested that no single modality can provide an adequate solution for high-security applications. These studies agree that it is vital to use multiple modalities such as visual, infrared, acoustic, chemical sensors, and so on.
The problem of combining the power of several classifiers is of great importance to various applications. In many remote-sensing, pattern recognition, and multimedia applications, it is not uncommon for different channels or sensors to facilitate the recognition of an object. In addition, for many applications with very high-dimensional feature data, fusion of multiple modalities provides some computational relief by dividing feature vectors into several lower-dimensional ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.