Wavelets and Word Image Matching

Emil Keleveđiev , Andrey Andreev

An approach to word image matching (WIM) based on wavelet transform (WT) is examined. A detailed computer experiments was carried out with respect to the type of wavelet filters, types of the wavelet bases used, the best suited frequency band and quantization of wavelet coefficients for WIM. The experiments for detecting user’s specified words in Bulgarian and other typed documents of different quality show good steady results (above 950040EFA0roperly detected words in average).