Abstract
The aim of this research is to build up a fully automatic preprocessing algorithm capable of binarize and dewarping digitized documents, embedded in an application processor-centric Field Programmable Gate Array (FPGA), in order to develop an autonomous voice scanner for blind and visually impaired. Providing for blind the ability of hearing books without further assistance is the main purpose of this work overall. This is a part of a larger project, called “The Vocalizer Project”, emerged due to a demand by Brazil’s Ministry of Culture and Education for utilization in schools and public libraries, and is addressed for having more inclusive and intelligent cities. Furthermore, it is destined for the inclusion of blind and visually impaired people to the vast bibliographic material existent.
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Acknowledgement
We would like to thank FINEP and CNPq for the financial support. And a special acknowledgment to Pináculo company and also the multi-disciplinary team whose worked through the stages of this project.
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Crovato, C., Torok, D., Heidrich, R., de Cerqueira, B., Velho, E. (2016). A Preprocessing Algorithm to Increase OCR Performance on Application Processor-Centric FPGA Architectures. In: Chang, C., Chiari, L., Cao, Y., Jin, H., Mokhtari, M., Aloulou, H. (eds) Inclusive Smart Cities and Digital Health. ICOST 2016. Lecture Notes in Computer Science(), vol 9677. Springer, Cham. https://doi.org/10.1007/978-3-319-39601-9_3
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DOI: https://doi.org/10.1007/978-3-319-39601-9_3
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