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Facing the popularity of web searching, libraries continuously invest in the provision of online searching and refurnish physical facilities to attract users during the past decades. In this study, we conducted a technical feasibility study to facilitate library services by applying a novice image pre-processing technique to enhance performance of OCR via mobile devices. Traditional approaches usually apply a global threshold for all pixels and compared, while this will not be suitable for some scenarios, such as non-uniform lightness and complicated background. Different from other studies, our research used the concept of divide and merge to identify local and global thresholds. The experimental results illustrate that the proposed method effectively improves the text recognition. The accuracy rate was raised from 17.7% to 72.05% of all test images. Without counting eight unrecognizable images, the average accuracy rates of our treatment can reach 90.06%. We are confident that this design will not only bring users more convenience in using libraries but help library staff and businessmen to manage the status of books.

Enhance Text Recognition by Image Pre-Processing to Facilitate Library Services by Mobile Devices