Description

Image retrieval is an important research field in consumer applications. Most of the retrieval process focuses on clustering the dataset for retrieval. In this project we focus on supervised classification of the database and the query image features namely, color features, texture features and edge histogram features. The implementation of Multi-SVM classifier improves the performance of retrieval. The query image classification minimizes the retrieval time and error rate.