Online and off-line handwriting recognition: a comprehensive survey
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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 record
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Topic
- Handwritten Text Recognition Techniques
- Field
- Computer Science
- Canadian institutions
- Polytechnique Montréal
- Funders
- —
- Keywords
- HandwritingComputer scienceHandwriting recognitionIntelligent character recognitionPreprocessorSpeech recognitionArtificial intelligenceCharacter (mathematics)Natural language processingReading (process)Word (group theory)Word recognitionRight-to-leftCharacter recognitionFeature extractionImage (mathematics)Linguistics
- Has abstract in OpenAlex
- yes