Automatic Text Segmentation and Recognition in Natural Scene Images Using Msocr

Conclusion: Trained SVM classifier is used to classify the image containing text and non-text region. Performances are analyzed based on the recall rate, precision, accuracy, and Fmeasure. From the experimental results, the accuracy of the proposed classifier was obtained as 95%.
Source: Current Signal Transduction Therapy - Category: Molecular Biology Source Type: research