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OCR Error Correction for Vietnamese OCR Text with Different Edit Distances

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10252180" target="_blank" >RIV/61989100:27240/22:10252180 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-14627-5_13" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-14627-5_13</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-14627-5_13" target="_blank" >10.1007/978-3-031-14627-5_13</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    OCR Error Correction for Vietnamese OCR Text with Different Edit Distances

  • Original language description

    Candidate word generation by character edit operations is an important method that has been employed in many OCR error correction approaches. In this paper, we study how character edit distances impact the performance of OCR error correction. We propose the algorithm of generating correction candidates with different edit distances. Correction candidates for both non-word and real-word errors are considered. The candidates are scored and ranked based on linguistic features and edit probability. The experiments are tested on the VNOnDB database used in the Vietnamese online handwritten text recognition competition (VOHTR 2018). We evaluate the error correction performance on different edit distances in terms of two error metrics, character error rate (CER) and word error rate (WER). It is shown that the edit distances of 1 and 2 obtain better correction results instead of higher edit distances. (C) 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Networks and Systems. Volume 527

  • ISBN

    978-3-031-14626-8

  • ISSN

    2367-3370

  • e-ISSN

    2367-3389

  • Number of pages

    10

  • Pages from-to

    130-139

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Sanda

  • Event date

    Sep 7, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000870692600013