Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback

Abstract

Keyword Spotting is a well-known method in document image retrieval which is based on query word image. In this paper, a document image retrieval system based on keyword spotting and relevance feedback is presented. Relevance feedback as an interactive method is used in this paper to improve the performance of Document Image Retrieval System (DIRS). In the proposed method, we compare several strategies of positive and negative feedbacks which include Only Feedback, Only Negative Feedback and Positive and Negative Feedback. Experiments show that using relevance feedback in DIR outperforms common DIR.