Handwritten Bangla Word Recognition Using Elliptical Features

In the present work, a holistic word recognition technique is proposed for the recognition of the handwritten Bangla words. Holistic word recognition technique assumes a word as a single and indivisible entity and extracts features from the entire word to recognize it. In this work, a set of elliptical features is extracted from handwritten word images to represent them in the feature space. Then, a comparison among 5 well known classifiers is carried out in terms of their accuracies to select the suitable classifier for evaluating the present work. Based on that, finally, a neural network based classifier is chosen for the recognition task. Using the elliptical features, the proposed system provides a satisfactory result on a small dataset.