A Novel Connectionist System for Unconstrained Handwriting Recognition
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- Type
- article
- Published
- 2009-05-01
- Cited by
- 1,964
- References
- 59
- Access
- Open access
- OpenAlex
- https://openalex.org/W2122585011
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14635907
Keywords
Computer science, Hidden Markov model, Artificial intelligence, Handwriting recognition, Robustness (evolution)
References
- Token passing: a simple conceptual model for connected speech recognition systems
- The IDIAP Smart Meeting Room
- The tagged LOB Corpus : user's manual
- Novel Hybrid NN/HMM Modelling Techniques for On-line Handwriting Recognition
- Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
- Framewise phoneme classification with bidirectional LSTM networks
- Connectionist Speech Recognition: A Hybrid Approach
- Sentence recognition through hybrid neuro-Markovian modeling
- Machine recognition of handwritten words: A project report
- Phoneme boundary estimation using bidirectional recurrent neural networks and its applications
- Using stroke- or character-based self-organizing maps in the recognition of on-line, connected cursive script
- Handwriting Recognition: Tablet PC Text Input
- An unconstrained handwriting recognition system
- Online handwriting recognition: the NPen++ recognizer
- The State of the Art in Online Handwriting Recognition
- Handwriting recognition using a reduced character method and neural nets
- Long Short-Term Memory
- Performance evaluation of a new hybrid modeling technique for handwriting recognition using identical on-line and off-line data
- 2005 Special Issue: Framewise phoneme classification with bidirectional LSTM and other neural network architectures
- Writer independent on-line handwriting recognition using an HMM approach
Cited by
- Detecting Multilingual Lines of Text with Fusion Moves
- Large-scale Circuitry Interactions upon Earthquake Experiences Revealed by Recurrent Neural Networks
- Arbitrary Keyword Spotting in Handwritten Documents
- Translation rescoring through recurrent neural network language models
- A preliminary study on automated freshwater algae recognition and classification system
- Development of the Learning Process for the Neuron and Neural Network for Pattern Recognition
- Deep Neural Networks for Large Vocabulary Handwritten Text Recognition. (Réseaux de Neurones Profonds pour la Reconnaissance de Texte Manucrit à Large Vocabulaire)
- A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks
- Bidirectional Recurrent Neural Networks as Generative Models
- Offline Language-free Writer Identification based on Speeded-up Robust Features
- Evaluating a post-editing approach for handwriting transcription
- Robustness of classification ability of spiking neural networks
- Mathematical Expression Recognition based on Probabilistic Grammars
- Combination of global and local contexts for text/non-text classification in heterogeneous online handwritten documents
- RETRACTED ARTICLE: Offline scripting-free author identification based on speeded-up robust features
- Structural Off-line Handwriting Character Recognition Using Approximate Subgraph Matching and Levenshtein Distance
- Extraction d'information dans des documents manuscrits non contraints : application au traitement automatique des courriers entrants manuscrits. (Information extraction in unconstrained handwritten documents: application to automatic processing of handwritten incoming mail)
- Handwritten word recognition using Web resources and recurrent neural networks
- Visual recognition of 3D emblematic gestures in an HMM framework
- Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features
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