Evaluation of holistic features for word recognition

This work proposes a testing environment for evaluation of holistic methods for word recognition. The main goal is to determine an optimum set of holistic characteristics to represent the months of the year in Brazilian Portuguese language. The holistic characteristics treat the words as single, indivisible entities and attempts to perform recognition from their overall shape, as opposed to their character contents. No segmentation step is needed in holistic recognition systems.