Redefining the DCT-based feature for scene text detection: Analysis and comparison of spatial frequency-based features

Authors:
Hideaki Goto
Affiliations:
Tohoku University, Information Synergy Center, 980–8578, Sendai, Japan
Venue:
International Journal on Document Analysis and Recognition
Year:
2008

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Abstract

We analyze some spatial frequency-based features used for text region detection in natural scene images, and redefine the DCT-based feature. We employ Fisher’s discriminant analysis to improve the DCT-based feature and to achieve higher accuracy. An unsupervised thresholding method for discriminating text and non-text regions is introduced and tested as well. Experimental results show that a wide high frequency band, covering some lower-middle frequency components, is generally more suitable for scene text detection despite the original definition of the DCT-based feature.