Information Retrieval from Historical Document Image Base

This communication presents an effective method for information retrieval from historical document image base. Proposed approach is based on word and character extraction in the text and attributing certain feature vectors to each of the character images. Words are matched by comparing their characters through a multistage Dynamic Time warping (DTW) stage on the extracted feature set. The approach exhibits extremely promising results reading more than 96% retrieval/recognition rate.

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