The QCRI recognition system for handwritten Arabic

Felix Stahlberg, Stephan Vogel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

This paper describes our recognition system for handwritten Arabic. We propose novel text line image normalization procedures and a new feature extraction method. Our recognition system is based on the Kaldi recognition toolkit which is widely used in automatic speech recognition (ASR) research. We show that the combination of sophisticated text image normalization and state-of-the art techniques originating from ASR results in a very robust and accurate recognizer. Our system outperforms the best systems in the literature by over 20% relative on the abcde-s configuration of the IFN/ENIT database and achieves comparable performance on other configurations. On the KHATT corpus, we report 11% relative improvement compared to the best system in the literature.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages276-286
Number of pages11
Volume9280
ISBN (Print)9783319232331
DOIs
Publication statusPublished - 2015
Event18th International Conference on Image Analysis and Processing, ICIAP 2015 - Genoa, Italy
Duration: 7 Sep 201511 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9280
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other18th International Conference on Image Analysis and Processing, ICIAP 2015
CountryItaly
CityGenoa
Period7/9/1511/9/15

Keywords

  • Arabic
  • Handwriting recognition
  • Text image normalization

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'The QCRI recognition system for handwritten Arabic'. Together they form a unique fingerprint.

  • Cite this

    Stahlberg, F., & Vogel, S. (2015). The QCRI recognition system for handwritten Arabic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9280, pp. 276-286). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9280). Springer Verlag. https://doi.org/10.1007/978-3-319-23234-8_26