Feature Weighting for Improving Document Image Retrieval System Performance
Feature weighting is a technique used to approximate the optimal degree of influence of individual features. This paper presents a feature weighting method for Document Image Retrieval System (DIRS) based on keyword spotting. In this method, we weight the feature using coefficient of multiple correlations. Coefficient of multiple correlations can be used to describe the synthesized effects and correlation of each feature. The aim of this paper is to show that feature weighting increases the performance of DIRS. After applying the feature weighting method to DIRS the average precision is 93.23% and average recall become 98.66% respectively.
Keywords: Information Retrieval, Indexing, Document Image, Feature weighting
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ABOUT THE AUTHORS
Mohammadreza Keyvanpour
Mohammadreza Keyvanpour is an Associate Professor at Alzahra University, Tehran, Iran. He received his B.s in software engineering From Iran University of Science &Technology, Tehran, Iran. He received his M.s and PhD in software engineering from Tarbiat Modares University, Tehran, Iran. His research interests Include image retrieval and data mining.
Reza Tavoli
Reza Tavoli received his B.s in software engineering from Iran University of Science & Technology, Behshahr, Iran. He received his M.s software engineering from Islamic Azad University, science & Research Branch, Tehran, Iran. Currently, He is pursuing PhD in Software engineering at Islamic Azad University, Qazvin Branch, and Qazvin, Iran. His research interests Include document image retrieval and data mining.
Mohammadreza Keyvanpour
Mohammadreza Keyvanpour is an Associate Professor at Alzahra University, Tehran, Iran. He received his B.s in software engineering From Iran University of Science &Technology, Tehran, Iran. He received his M.s and PhD in software engineering from Tarbiat Modares University, Tehran, Iran. His research interests Include image retrieval and data mining.
Reza Tavoli
Reza Tavoli received his B.s in software engineering from Iran University of Science & Technology, Behshahr, Iran. He received his M.s software engineering from Islamic Azad University, science & Research Branch, Tehran, Iran. Currently, He is pursuing PhD in Software engineering at Islamic Azad University, Qazvin Branch, and Qazvin, Iran. His research interests Include document image retrieval and data mining.
