A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition.
Noor ul Sehr ZiaMuhammad Ferjad NaeemSyed Muhammad Kumail RazaMuhammad Mubasher KhanAdnan Ul-HasanFaisal ShafaitPublished in: Neural Comput. Appl. (2022)
Keyphrases
- handwriting recognition
- character recognition
- writer independent
- deep learning
- word segmentation
- historical documents
- word recognition
- unconstrained handwritten
- handwritten text
- speech recognition
- real time
- handwritten documents
- machine learning
- bayesian networks
- neural network
- natural language processing
- n gram
- natural language
- optical character recognition
- feature extraction
- image processing
- computer vision