Feature Weighting for Improving Document Image Retrieval System Performance
International Journal of Computer Science Issues, Vol 9, Issue 3, No 3 (2012) 125-130 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 keywor...
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Zusammenfassung: | International Journal of Computer Science Issues, Vol 9, Issue 3,
No 3 (2012) 125-130 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 |
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DOI: | 10.48550/arxiv.1206.1291 |