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An introduction to digital image processing

Wayne Niblack
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The article was published on 1986-01-01 and is currently open access. It has received 1745 citations till now. The article focuses on the topics: Digital image processing & Image processing.

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Proceedings ArticleDOI

Visual appearance based document image classification

TL;DR: A new method for classifying documents with rigid geometry based on the fast and robust Viola-Jones object detection algorithm, which allows not only to classify documents, but also to detect the placement and orientation of documents within an image.
Book ChapterDOI

OCRdroid: A Framework to Digitize Text Using Mobile Phones

TL;DR: OCRdroid, a generic framework for developing OCR-based applications on mobile phones that combines a light-weight image preprocessing suite installed inside the mobile phone and an OCR engine connected to a backend server is presented.
Proceedings ArticleDOI

Learning document image binarization from data

TL;DR: This work presents a fully trainable solution for binarization of degraded document images using extremely randomized trees and introduces two novel features, the Logarithm Intensity Percentile (LIP) and the Relative Darkness Index (RDI), and combines them with low level features, and reformulated features from existing binarized methods.
Journal ArticleDOI

Recognition of digits in hydrographic maps: binary versus topographic analysis

TL;DR: The experimental results indicated that binary analysis had a better performance than topographic analysis, and overall, the performance of the binary analysis was acceptable.
Journal ArticleDOI

Shape based local thresholding for binarization of document images

TL;DR: Experimental results show that the proposed local threshold algorithm is superior in terms of segmentation quality to the threshold approaches that solely use intensity information.
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