COMPARISON OF CANNY AND SOBEL EDGE IN DETECTION TECHNIQUES
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 4, Issue 7
Abstract
The edges for an image are always the important characteristics for a higher frequency and better results. Iris recognition system mainly includes eye image capturing, image pre-processing and edge detection through iris region segmentation, features extraction and pattern matching. Among them edge detection is one of the major part in iris recognition system. Edge detection technique makes pupil boundary detection accurately and easier. Detection of edges may help the image for image segmentation, normalization, data compression, and also for image reconstruction. Edge detection technique plays an important role in digital image processing and in different aspects of human life. Here we are seeing various edge detection techniques as Prewitt, Robert, Sobel, and Canny operators. An edge may be defined as a set of connected pixels that forms a boundary between two disjoints regions. Edge detection is a method of segmenting an image into regions of discontinuity On comparing them we can see that canny edge detector performs better than all other edge detectors on various aspects such as give better results for noisy image, remove streaking problem & adaptive in nature etc.
Authors and Affiliations
Mrs. Anandhi*
Keywords
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