High Performance Layout Analysis of Medieval European Document Images.
Syed Saqib Bukhari,Ashutosh Gupta,Anil Kumar Tiwari,Andreas Dengel +3 more
- pp 324-331
TLDR
High performance page segmentation techniques for medieval European document images which include a novel main-body and side-notes segregation and an improved version of OCRopus (OCRopus, ) based text line extraction are presented.Abstract:
Layout analysis, mainly including binarization and page segmentation, is one of the most important performance determining steps of an OCR system for complex medieval document images, which contain noise, distortions and irregular layouts. In this paper, we present high performance page segmentation techniques for medieval European document images which include a novel main-body and side-notes segregation and an improved version of OCRopus (OCRopus, ) based text line extraction. In order to complete the high performance layout analysis pipeline, we have also presented the application of the percentile based binarization (Afzal et al., 2014) and the multiresolution morphology based text and non-text segmentation (Bukhari et al., 2011) methods over historical document images. presented layout analysis techniques are applied to a collection of the 15th century Latin document images, which achieved more than 90% accuracy for each of the segmentation techniques.read more
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References
More filters
Journal ArticleDOI
Document analysis system
TL;DR: The requirements and components for a proposed Document Analysis System, which assists a user in encoding printed documents for computer processing, are outlined and several critical functions have been investigated and the technical approaches are discussed.
Journal ArticleDOI
The document spectrum for page layout analysis
TL;DR: The document spectrum (or docstrum) as discussed by the authors is a method for structural page layout analysis based on bottom-up, nearest-neighbor clustering of page components, which yields an accurate measure of skew, within-line, and between-line spacings and locates text lines and text blocks.
Book
The document spectrum for page layout analysis
TL;DR: The document spectrum (or docstrum), which is a method for structural page layout analysis based on bottom-up, nearest-neighbor clustering of page components, yields an accurate measure of skew, within-line, and between-line spacings and locates text lines and text blocks.
Journal ArticleDOI
Twenty years of document image analysis in PAMI
TL;DR: The contributions to document image analysis of 99 papers published in the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) are clustered, summarized, interpolated, interpreted, and evaluated.
Journal ArticleDOI
A prototype document image analysis system for technical journals
TL;DR: The document image acquisition process and the knowledge base that must be entered into the system to process a family of page images are described, and the process by which the X-Y tree data structure converts a 2-D page-segmentation problem into a series of 1-D string-parsing problems that can be tackled using conventional compiler tools.