Abstract

As the OCR technique is not yet adequate for handwritten scripts with large lexicon, word spotting has been introduced as an alternative to OCR. This paper proposes a novel approach to word spotting that, instead of matching features of the word image to features extracted from predefined templates, uses the estimated posterior probability as the output of well trained classifier for spotting. Gabor features are extracted from gray scale image in order to yield higher performance on degraded, low quality document image.

Date

2007

Authors

Huaigu Cao, Venu Govindaraju

Book

Advances In Pattern Recognition

Pages

135-139