loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Camelia Lemnaru ; Andreea Sin-Neamțiu ; Mihai-Andrei Vereș and Rodica Potolea

Affiliation: Technical University of Cluj-Napoca, Romania

ISBN: 978-989-8565-29-7

Keyword(s): Handwriting Recognition, Historical Document, Hierarchical Classifier, Dictionary Analysis, Kurrent Schrift.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining High-Dimensional Data ; Pre-Processing and Post-Processing for Data Mining ; Structured Data Analysis and Statistical Methods ; Symbolic Systems

Abstract: Information contained in historical sources is highly important for the research of historians; yet, extracting it manually from documents written in difficult scripts is often an expensive and time-consuming process. This paper proposes a modular system for transcribing documents written in a challenging script (German Kurrent Schrift). The solution comprises of three main stages: Document Processing, Word Processing and Word Selector, chained together in a linear pipeline. The system is currently under development, with several modules in each stage already implemented and evaluated. The main focus so far has been on the character recognition module, where a hierarchical classifier is proposed. Preliminary evaluations on the character recognition module has yielded ~ 82% overall character recognition rate, and a series of groups of confusable characters, for which an additional identification model is currently investigated. Also, word composition based on a dictionary matching appr oach using the Levenshtein distance is presented. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.224.8

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lemnaru, C.; Sin-Neamțiu, A.; Vereș, M. and Potolea, R. (2012). A System for Historical Documents Transcription based on Hierarchical Classification and Dictionary Matching.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 353-357. DOI: 10.5220/0004143003530357

@conference{kdir12,
author={Camelia Lemnaru. and Andreea Sin{-}Neamțiu. and Mihai{-}Andrei Vereș. and Rodica Potolea.},
title={A System for Historical Documents Transcription based on Hierarchical Classification and Dictionary Matching},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={353-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004143003530357},
isbn={978-989-8565-29-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - A System for Historical Documents Transcription based on Hierarchical Classification and Dictionary Matching
SN - 978-989-8565-29-7
AU - Lemnaru, C.
AU - Sin-Neamțiu, A.
AU - Vereș, M.
AU - Potolea, R.
PY - 2012
SP - 353
EP - 357
DO - 10.5220/0004143003530357

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.