The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Online recognition of chinese characters: the state-of-the-art
Abstract
Online handwriting recognition is gaining renewed interest owing to the increase of pen computing applications and new pen input devices. The recognition of Chinese characters is different from western handwriting recognition and poses a special challenge. To provide an overview of the technical status and inspire future research, this paper reviews the advances in online Chinese character recognition (OLCCR), with emphasis on the research works from the 1990s. Compared to the research in the 1980s, the research efforts in the 1990s aimed to further relax the constraints of handwriting, namely, the adherence to standard stroke orders and stroke numbers and the restriction of recognition to isolated characters only. The target of recognition has shifted from regular script to fluent script in order to better meet the requirements of practical applications. The research works are reviewed in terms of pattern representation, character classification, learning/adaptation, and contextual processing. We compare important results and discuss possible directions of future research.
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Cited by
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
Zhang, X.-Y., Yin, F., Zhang, Y.-M., Liu, C.-L., & Bengio, Y. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2695539 · Cited by 363
Self-citationOnline and offline handwritten Chinese character recognition: Benchmarking on new databases
Liu, C.-L., Yin, F., Wang, D.-H., & Wang, Q.-F. (2013) · Pattern Recognition · doi:10.1016/j.patcog.2012.06.021 · Cited by 326
Self-citationZhong, Z., Jin, L., & Xie, Z. (2015) · 2015 13th International Conference on Document Analysis and Recognition (ICDAR) · doi:10.1109/icdar.2015.7333881 · Cited by 309
Metadata
- Authors
- Liu, C.-L., Jaeger, S., & Nakagawa, M.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2004-02
- Volume
- 26
- Issue
- 2
- Pages
- 198-213
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2115675483
- Cited by
- 351
- References
- 65
- FWCI
- 19.02
- Type
- journal article
- Language
- en
- Open access
- closed
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