DOCUMENT PREPROCESSING MODULE FOR OPTICAL CHARACTER RECOGNITION
Shaimaa Samir Abu-Elela Mohamed;
Abstract
Key Words:
Line segmentation; Image enhancement; Sparse Modeling; Image Preprocessing;
Optical Character Recognition.
Summary:
Optical Character Recognition (OCR) is the process of converting document images
into editable text. This enables us to edit and search documents very easily.
Document preprocessing of a document image is a very important stage prior to
OCR. This thesis presents new line segmentation, image enhancement, and character
reconstruction algorithms to improve document preprocessing. Consequently, we
can get better results from the OCR system.
Line segmentation; Image enhancement; Sparse Modeling; Image Preprocessing;
Optical Character Recognition.
Summary:
Optical Character Recognition (OCR) is the process of converting document images
into editable text. This enables us to edit and search documents very easily.
Document preprocessing of a document image is a very important stage prior to
OCR. This thesis presents new line segmentation, image enhancement, and character
reconstruction algorithms to improve document preprocessing. Consequently, we
can get better results from the OCR system.
Other data
| Title | DOCUMENT PREPROCESSING MODULE FOR OPTICAL CHARACTER RECOGNITION | Other Titles | معالجة الوثائق لأعدادها للتعرف الألى على النصوص | Authors | Shaimaa Samir Abu-Elela Mohamed | Issue Date | 2017 |
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