Optical Character Recognition System for Nastalique Urdu-Like Script Languages Using Supervised Learning.
S. S. R. RizviSagheer AbbasK. AdnanA. MuhammadPublished in: Int. J. Pattern Recognit. Artif. Intell. (2019)
Keyphrases
- recognition process
- language identification
- improve the recognition accuracy
- supervised learning
- multi lingual
- indian languages
- unsupervised learning
- document images
- training data
- speaker identification
- text lines
- font recognition
- learning tasks
- semi supervised
- supervised machine learning
- multiple instance learning
- active learning
- semi supervised learning
- learning algorithm
- reinforcement learning
- generalization error
- language independent
- machine learning
- training set
- labeled data
- expressive power
- fiber optic
- ocr systems
- printed characters
- statistical learning
- handwritten characters
- printed circuit boards
- grammatical inference
- data sets
- feature extraction
- information retrieval
- databases