Implementation and Comparative Analysis of Rotation Invariance Techniques in Fingerprint Recognition
نویسندگان
چکیده
In the image processing systems, the input image is first preprocessed, which may involve restoration, enhancement or just proper representation of the data. The most significant problem in image analysis is the detection of presence of an object within a given scene or an image. Such a problem occurs in trademarks classification and other areas like remote sensing for monitoring growth patterns within urban areas, weather prediction from satellite, target detection from radar or from the fighter plane etc. For this purpose template detection or template matching is the most commonly used technique. Using Rotation Invariant Template matching the object of interest can be easily searched even if it is rotated at any angle within the query image. In this paper, Rotation Invariant Template Matching is used for fingerprint identification, biomedical imaging, remote sensing and feature tracking.
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