Bernoulli Mixture Models for Binary Images

Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks for which binary or discrete mixtures are better suited. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. Results are reported on a task of handwritten Indian digits. Key words: Mixture Models, EM Algorithm, Multivariate Bernoulli Distribution, Binary Data, Indian Digits

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Alfons Juan, Enrique Vidal
• Keywords: Bernoulli Mixtures, Binary Data, Computer Vision, Handwritten Indian Digits, ICPR 2004