OCR in a Hierarchical Feature Space.
Jaehwa ParkVenu GovindarajuSargur N. SrihariPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2000)
Keyphrases
- low dimensional
- feature space
- high dimensional
- dimensionality reduction
- data points
- principal component analysis
- high dimensional data
- input space
- dimension reduction
- optical character recognition
- high dimensional feature space
- training samples
- feature extraction
- post processing
- error correction
- document images
- kernel function
- image representation
- hierarchical structure
- high dimensionality
- character recognition
- printed documents
- document processing
- hierarchical model
- text recognition
- hierarchical clustering
- classification accuracy
- feature vectors
- image retrieval
- training set
- object recognition
- image processing
- coarse to fine
- feature set
- high dimension
- genetic algorithm