Identification of Mathematical Expressions in Document Images

Identification of mathematical expressions in document images is attempted. Several features starting from low level image features, shape features, linguistics information, etc. are extracted and combined to pinpoint the expressions. A performance index has been formulated to evaluate the identification results. Experiment uses a data set of 200 publicly available images containing 1163 embedded and 1039 displayed expressions. Test results show accuracies of 88.3% and 97.2%, respectively for extracting embedded and displayed expressions perfectly.