DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-6,Issue-4 ( Apr, 2019 ) | |||||||||
Paper Title |
Object Recognition for a Blind Relief System | |||||||||
Author Name |
Shardul Raghavendra Deolankar | |||||||||
Affilition |
Department of Electronics and Telecommunication, Vishwakarma Institute of Technology, Pune, India | |||||||||
Pages |
33-35 | |||||||||
Abstract |
Object recognition refers to identification of a specific object in an image or video. It can have immense applications like surveillance, navigation, etc. Another application could be an aid for the blind. Object recognition can help a blind person in his daily routine to identify any product or object that comes in front of him, maybe when he is in a supermarket. This work proposes a method of object recognition in real-time and give a speech output of the object or product present in the field of view of a camera by comparing it with images in the dataset. In the proposed system, a query image is categorized using the k-nearest neighbor classifier that makes use of Scale Invariant Feature Transform (SIFT). SIFT features are scale, orientation and illumination invariant. These features of the images are extracted to form a similarity matrix by matching these SIFT features. We then implement the k-nearest neighbor classifier of this similarity matrix. Keywords - Scale Invariant Feature Transform (SIFT), classifier, k-NN Classifier | |||||||||
| View Paper | ||||||||||
