Document Image Processing

Dublin Core

Title

Document Image Processing

Subject

Computer Science

Description

Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document image ranges from images of historical documents written on various surfaces, to synthetic images (useful for creating datasets) and videos including text. In order to succeed, many preprocessing tasks can be required: document skew detection and correction, slant removal, binarization and segmentation procedures, as well as other normalization tasks.

Creator

Ergina Kavallieratou (Ed:) --- Laurence Likforman-Sulem (Ed.)

Source

https://www.mdpi.com/books/pdfview/book/720

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

Date

2018

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Ergina Kavallieratou (Ed:) --- Laurence Likforman-Sulem (Ed.), “Document Image Processing,” Open Educational Resource (OER) - USK Library, accessed February 27, 2024, http://uilis.usk.ac.id/oer/items/show/3635.

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