Structural and Statistical Feature Extraction Methodology for the Recognition of Handwritten Arabic Words.
Marwa AmaraKamel ZidiKhaled GhédiraPublished in: HIS (2018)
Keyphrases
- handwritten words
- feature extraction
- handwritten documents
- word recognition
- arabic documents
- word spotting
- numeral strings
- handwriting recognition
- arabic handwriting recognition
- character recognition
- unconstrained handwritten
- handwritten characters
- hidden markov models
- document analysis
- handwritten text recognition
- printed documents
- newspaper articles
- recognition rate
- word segmentation
- speech corpus
- continuous speech recognition
- preprocessing
- image classification
- spoken words
- historical documents
- statistical methods
- handwritten text
- optical character recognition
- hand written
- arabic language
- printed text
- writing styles
- n gram
- writer independent
- feature selection
- pattern recognition
- face recognition
- ear biometrics
- object recognition
- feature space
- text recognition
- feature vectors
- feature extractor
- character segmentation
- document image analysis
- principal component analysis
- text lines
- structural features
- extracted features
- unknown words
- automatic recognition
- machine vision
- document images