초록 ▼

In an exemplary embodiment, a pattern is recognized from digitized images. A first image metric is computed from a first digitized image and a second image metric is computed from a second digitized image. A composite image metric is computed as a function of the first image metric and the second im

In an exemplary embodiment, a pattern is recognized from digitized images. A first image metric is computed from a first digitized image and a second image metric is computed from a second digitized image. A composite image metric is computed as a function of the first image metric and the second image metric, and a pattern is identified by comparing the composite image metric against a reference image metric. The function may be a simple average or a weighted average. The image metric may include a separation distance between features, or a measured area of a feature, or a central angle between two arcs joining a feature to two other features, or an area of a polygon whose vertices are defined by features, or a second moment of a polygon whose vertices are defined by features. The images may include without limitation images of friction ridges, irises, or stars.

대표청구항 ▼

What is claimed is: 1. A method of recognizing a pattern from digitized images, the method comprising:computing a first image metric from a first digitally-captured image;computing a second image metric from a second digitally-captured image;computing a composite image metric as a function of the fi

What is claimed is: 1. A method of recognizing a pattern from digitized images, the method comprising:computing a first image metric from a first digitally-captured image;computing a second image metric from a second digitally-captured image;computing a composite image metric as a function of the first image metric and the second image metric; andidentifying, by a processor, a pattern by comparing the composite image metric against a reference image metric.