Indian Coin Detection and Sorting using SIFT Algorithm
Author(s):
Rohan.S.Prabhu , Don Bosco College Of Engineering; Sahil.G.Khorjuvekar, Don Bosco College Of Engineering; Akshat.G.Poi , Don Bosco College Of Engineering; Vaibhav Naik, Don Bosco College Of Engineering; Sairaaj.S.Shirodkar, Don Bosco College Of Engineering
Keywords:
Image processing, SIFT algorithm, MATLAB, feature extraction, histogram
Abstract:
Coins form an important part of our daily transactions. We use coins in different places like stores, banks etc. Hence it becomes a compulsion to detect the coin automatically. We have used the SIFT algorithm in order to detect the coin. In this algorithm we have stored the images in a database created called as test image. Then the image called as the training image is compared to the image present in the database. This algorithm detects and describes local features in images. Other applications for sift algorithm also include object recognition, robotic mapping and navigation, image stitching, 3D modeling gesture recognition, video tracking and match moving etc.
Other Details:
| Manuscript Id | : | IJSTEV2I10173
|
| Published in | : | Volume : 2, Issue : 10
|
| Publication Date | : | 01/05/2016
|
| Page(s) | : | 601-603
|
Download Article
