Design and Hardware Implementation of Optical Character Recognition

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Dezfuli, Sina | 2016

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 48751 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Hashemi, Matin
Abstract:
The objective of OCR systems is to retrieve machine-encoded text from a raster image. Despite the abundance of powerful OCR algorithms for English, there are not many for Farsi. Our proposed algorithm is comprised of pre-processing, line detection, sub-word detection and segmentation, feature extraction and classification. Furthermore, hardware implementation and acceleration of this system on a GPGPU is presented. This algorithm was tested on 5 fonts including Titr, Lotus,Yekan, Koodak and Nazanin and an average accuracy above 90% was achieved
Keywords:
Optical Character Recognition (OCR) ; Farsi Text Recognition ; General Purpose Graphic Processing Units (GPGPU) ; Feature Extraction ; Preprocessing