The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Online and off-line handwriting recognition: a comprehensive survey
Abstract
Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human transactions, machine recognition of handwriting has practical significance, as in reading handwritten notes in a PDA, in postal addresses on envelopes, in amounts in bank checks, in handwritten fields in forms, etc. This overview describes the nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms. Both the online case (which pertains to the availability of trajectory data during writing) and the off-line case (which pertains to scanned images) are considered. Algorithms for preprocessing, character and word recognition, and performance with practical systems are indicated. Other fields of application, like signature verification, writer authentification, handwriting learning tools are also considered.
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The state of the art in online handwriting recognition
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Cited by
Huang, L., Joseph, A. D., Nelson, B., Rubinstein, B. I. P., & Tygar, J. D. (2011) · Proceedings of the 4th ACM workshop on Security and artificial intelligence · doi:10.1145/2046684.2046692 · Cited by 1,194
A review of verbal and non-verbal human–robot interactive communication
Mavridis, N. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2014.09.031 · Cited by 453
SHARK 2: a large vocabulary shorthand writing system for pen-based computers
Kristensson, P.-O., & Zhai, S. (2004) · Proceedings of the 17th annual ACM symposium on User interface software and technology · doi:10.1145/1029632.1029640 · Cited by 419
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
Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
Bhattacharya, U., & Chaudhuri, B. B. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.88 · Cited by 334
Metadata
- Authors
- Plamondon, R., & Srihari, S. N.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2000
- Volume
- 22
- Issue
- 1
- Pages
- 63-84
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2142069714
- Cited by
- 2,498
- References
- 4
- FWCI
- 49.53
- Type
- journal article
- Language
- en
- Open access
- closed
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