Design of Hybrid Algorithm for Fast and Efficient Image Vector Detection and Recognition


Authors : Vishwajeet Ranade, Varad Kulkarni, Sukhada Bonde

Volume/Issue : Volume 2 - 2017, Issue 10 - October

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/chkXYf

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

The digital image processing is used in a number of areas, particularly for feature extraction and recognition of similar features in two separate images. Recognition of features is a problem, and though there are widely available algorithms that are able to recognize the features from images, selection of an appropriate and accurate algorithm is very important.This Paper comprises of designing such a method to easily extract features and compare two different images to check their similarity and to give user the information about the object in image, using hybrid of various algorithms in image processing. Using this scheme, we can recognize the image which user is viewing in the real time at that moment and return back the data about the image to user. These schemes largely depend on the two factors. The first of these is Image capture mode. Another factor is comparison efficiency.

Keywords : Image Processing, Digital Image Processing, Threshold, Digital Image Processing, Base 64, Fast Feature Detection, Histogram Equalization, Image Comparison.

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