template matching


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template matching

[′tem·plət ‚mach·iŋ]
(computer science)
The comparison of a picture or other data with a stored program or template, for purposes of identification or inspection.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
In template matching, the image is compared to a known pattern or shape ...
To overcome the low signal-to-noise ratio, the team turned to a technique known as "template matching," Slightly larger and more easily identifiable earthquakes are used as templates to illustrate what an earthquake's signal at a given location should, in general, look like.
It stores a person's fingerprint, iris and face templates on a smart card and performs template matching in a microprocessor embedded in the card, instead of matching biometric information on a PC processor.
Template matching is a well-known technique used in image processing, which has the goal of finding a sub-image (template) in a bigger image (search area).
Input Parameters Test Name Block Length Block Frequency 128 Non-overlapping Template Matching 9 Overlapping Template Matching 9 Linear Complexity 500 Serial 16 Approximate Entropy 10 Table 2.
Authentication involves a measurement of the same data and comparison with the stored template [3], The core of any biometric system is the extracted template, where the matcher algorithms in this systems depends on template matching in one to one (verification) and one to many (identification) modes.
For bottom-up methods, two techniques were usually employed, including edge detection and template matching. Edge-based methods were to extract the anatomical contours in cephalograms, and then the relative landmarks were identified on the contours using prior knowledge.
Nowadays, the recognition methods used in text-based CAPTCHA system include three categories: template matching, character feature, and machine learning.
Template matching technique is used for the character recognition.
Objective: To propose a wavelet-based template matching technique to extract features for automatic classification of electrocardiogram signals of normal and arrhythmic individuals.
A template matching based ASR systems developed the Crosswords Reference Template (CWRT) method to improve the recognition accuracy by the 27[degrees]-45[degrees]-63[degrees] local-path constraint..