Text and Non-text Segmentation and Classification from Document Images

Text and non-text segmentation and classification is very important in document layout analysis system before it is presented to an OCR system. Heuristic rules have been used in segmenting and classifying the text and non-text blocks. This research focuses on the classification of non-text block in technical documents into table, graph, and figure. A comparative study is conducted between backpropagation neural network and support vector machine and the result shows that support vector machine classifies better than back propagation neural network.