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LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books

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arxiv 1701.07396 v1 pith:WALLN6OV submitted 2017-01-20 cs.CV cs.AI

classification cs.CVcs.AI
keywords booksearlylarexprintedanalysislayoutopen-sourcesemi-automatic
verification ladder T0 review T1 audit T2 compute T3 formal
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A semi-automatic open-source tool for layout analysis on early printed books is presented. LAREX uses a rule based connected components approach which is very fast, easily comprehensible for the user and allows an intuitive manual correction if necessary. The PageXML format is used to support integration into existing OCR workflows. Evaluations showed that LAREX provides an efficient and flexible way to segment pages of early printed books.

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Cited by 1 Pith paper

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  1. Developing a Mixed-Methods Pipeline for Community-Oriented Digitization of Kwak'wala Legacy Texts

    cs.CL 2025-06 conditional novelty 5.0 of 10

    A pipeline combining Google Vision OCR, fastText language ID, masking, and neural post-correction reduces character error rate on Kwak'wala legacy books from 0.43 to 0.18 and from 0.33 to 0.15.

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