A variation measure for handwritten character image data using entropy difference.
Dea-Hwan KimEun-Jung KimSung Yang BangPublished in: Pattern Recognit. (1997)
Keyphrases
- image data
- handwritten characters
- information theory
- handwritten character recognition
- relative entropy
- character recognition
- information content
- shannon entropy
- image database
- distance measure
- hyperspectral
- similarity measure
- image quality
- entropy measure
- information entropy
- neural network
- information theoretic
- machine vision
- real time
- kullback leibler divergence
- objective function
- data mining