CEDAR-FOX

It was developed at CEDAR, the Center of Excellence for Document Analysis and Recognition at the University at Buffalo.

The final goal is to compare two samples of writing to determine the log-likelihood ratio under the prosecution and defense hypotheses.

The comparison is based on macro features (which measure global characteristics such as slant, connectivity, etc.

The task of identifying the user is split into two parts, CEDAR-FOX performs variety of operations on document to make them ready for comparison.

The four major verification model used are CedarFox has several modalities for searching handwritten documents for the presence of key-words.

Analyse the image property.
Word Segmentation.
Comparing handwriting samples.