Binary Tree-based Accuracy-keeping Clustering Using CDA for Very Fast Japanese Character Recognition.
Yohei SobuHideaki GotoPublished in: MVA (2011)
Keyphrases
- character recognition
- handwritten chinese
- machine vision
- chinese characters
- hand written
- high accuracy
- handwritten characters
- clustering method
- k means
- document analysis
- optical character recognition
- clustering algorithm
- word recognition
- prediction accuracy
- handwriting recognition
- character segmentation
- license plate
- real time
- handwritten digits
- alphanumeric characters
- binary vectors
- image segmentation
- feature selection
- printed characters
- license plate recognition
- handwritten documents
- spectral clustering
- document clustering