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computer Engineering, AL-zhra university , tehran, iran
Abstract
Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to improve performance of document image retrieval System (DIRS). In the proposed method we compare several strategies of positive and negative feedback which include “Only Positive Feedback”, “Only Negative Feedback” and “Positive and Negative Feedback”. Experiments show that using relevance Feedback in DIR achieves better performance than common DIR.
tavoli, R., & Keyvanpour, M. (2014). Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback. International Journal of Engineering, 27(1), 7-14.
MLA
reza tavoli; Mohammadreza Keyvanpour. "Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback". International Journal of Engineering, 27, 1, 2014, 7-14.
HARVARD
tavoli, R., Keyvanpour, M. (2014). 'Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback', International Journal of Engineering, 27(1), pp. 7-14.
VANCOUVER
tavoli, R., Keyvanpour, M. Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback. International Journal of Engineering, 2014; 27(1): 7-14.