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Template matching [1] is a technique in digital image processing for finding small parts of an image which match a template image. It can be used for quality control in manufacturing, [ 2 ] navigation of mobile robots , [ 3 ] or edge detection in images.
Pattern recognition can be thought of in two different ways. The first concerns template matching and the second concerns feature detection. A template is a pattern used to produce items of the same proportions. The template-matching hypothesis suggests that incoming stimuli are compared with templates in the long-term memory.
While the pasted cells are still selected in the spreadsheet, copy them again by right-clicking and choosing "Copy" from the context menu. Open a new blank spreadsheet, click in the upper-left cell, right click on it, and choose "Paste Special". In Microsoft Excel, check the "Transpose" box at the bottom of the dialogue and hit Okay.
Elastic matching is one of the pattern recognition techniques in computer science. Elastic matching (EM) is also known as deformable template, flexible matching, or nonlinear template matching. [1] Elastic matching can be defined as an optimization problem of two-dimensional warping specifying corresponding pixels between subjected images.
Template matching theory describes the most basic approach to human pattern recognition. It is a theory that assumes every perceived object is stored as a "template" into long-term memory. [4] Incoming information is compared to these templates to find an exact match. [5]
Not a "similar method". Issue: The section "Template-based matching and convolution" points to convolution in (the mathematical definition) but the elaborated example -algorithm and formulas- are not related to convolution at all! — Preceding unsigned comment added by Carlosayam (talk • contribs) 07:45, 1 August 2013 (UTC)
Bates numbering is commonly used as an organizational method to label and identify legal documents. Nearly all American law firms use Bates stamps, though the use of manual hand-stamping is becoming increasingly rare because of the rise in electronic numbering, mostly in Portable Document Format (PDF) files rather than printed material.
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).