The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Online and offline handwritten Chinese character recognition: Benchmarking on new databases
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Citations
Cites
Minimum classification error rate methods for speech recognition
Juang, B.-H., Hou, W., & Lee, C.-H. (1997) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.568732 · Cited by 618
CASIA Online and Offline Chinese Handwriting Databases
Liu, C., Yin, F., Wang, D.-H., & Wang, Q. (2011) · Proceedings of the International Conference on Document Analysis and Recognition · doi:10.1109/icdar.2011.17 · Cited by 517
Self-citationModified Quadratic Discriminant Functions and the Application to Chinese Character Recognition
Kimura, F., Takashina, K., Tsuruoka, S., & Miyake, Y. (1987) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1987.4767881 · Cited by 501
Improved versions of learning vector quantization
Kohonen, T. (1990) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.1990.137622 · Cited by 500
Online recognition of chinese characters: the state-of-the-art
Liu, C.-L., Jaeger, S., & Nakagawa, M. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.1262182 · Cited by 351
Self-citationICDAR 2013 Chinese Handwriting Recognition Competition
Yin, F., Wang, Q.-F., Zhang, X.-Y., & Liu, C.-L. (2013) · 2013 12th International Conference on Document Analysis and Recognition · doi:10.1109/icdar.2013.218 · Cited by 324
Self-citationHandwritten digit recognition: investigation of normalization and feature extraction techniques
Liu, C., Nakashima, K., Sako, H., & Fujisawa, H. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(03)00224-3 · Cited by 297
Self-citationForty years of research in character and document recognition—an industrial perspective
Fujisawa, H. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.03.015 · Cited by 155
Optical recognition of handwritten Chinese characters: Advances since 1980
Hildebrandt, T. H., & Liu, W. (1993) · Pattern Recognition · doi:10.1016/0031-3203(93)90030-z · Cited by 148
Normalization-Cooperated Gradient Feature Extraction for Handwritten Character Recognition
Liu, C. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1090 · Cited by 139
Self-citation
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-citationICDAR 2013 Chinese Handwriting Recognition Competition
Yin, F., Wang, Q.-F., Zhang, X.-Y., & Liu, C.-L. (2013) · 2013 12th International Conference on Document Analysis and Recognition · doi:10.1109/icdar.2013.218 · Cited by 324
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
Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)
Ahlawat, S., Choudhary, A., Nayyar, A., Singh, S., & Yoon, B. (2020) · Sensors · doi:10.3390/s20123344 · Cited by 303
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Wang, Z., She, Q., & Ward, T. E. (2022) · ACM Computing Surveys · doi:10.1145/3439723 · Cited by 267
Metadata
- Authors
- Liu, C.-L., Yin, F., Wang, D.-H., & Wang, Q.-F.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 46
- Issue
- 1
- Pages
- 155-162
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2119305530
- Cited by
- 326
- References
- 22
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, C.-L., Yin, F., Wang, D.-H., & Wang, Q.-F. (2013). Online and offline handwritten Chinese character recognition: Benchmarking on new databases. Pattern Recognition. https://doi.org/10.1016/j.patcog.2012.06.021
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.