An overview of character recognition focused on off-line handwriting

Arica N., Yarman-Vural F.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, vol.31, no.2, pp.216-233, 2001 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 31 Issue: 2
  • Publication Date: 2001
  • Doi Number: 10.1109/5326.941845
  • Journal Name: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.216-233
  • Keywords: character recognition (CR), feature extraction, off-line handwriting recognition, segmentation, training and recognition, HIDDEN MARKOV-MODELS, WORD RECOGNITION, PATTERN-RECOGNITION, NEURAL-NETWORKS, AUTOMATIC RECOGNITION, MACHINE RECOGNITION, CHINESE-CHARACTERS, SYNTACTIC APPROACH, SEGMENTATION, FEATURES
  • Middle East Technical University Affiliated: No

Abstract

Character recognition (CR) has been extensively studied in the last half century and progressed to a level sufficient to produce technology driven applications. Now, the rapidly growing computational power enables the implementation of the present CR methodologies and creates an increasing demand on many emerging application domains, which require more advanced methodologies.