![]() Accessibility of information from image is important for various reasons. In an Image processing research, it is necessary to derive better tools that allow us to understand image content, meaning, and importance. ![]() We have tested our model on different types of images and have achieved success of more than 95%. The experimental results have proved its effectiveness. For classification, template matching is used. Various heuristics are used to find candidate object for Gujarati numeral. We have used edge detection, dilation and connected component analysis for segmentation. We have also adopted simple approach to address this problem. ![]() In this paper, we have discussed the problems of segmentation and recognition of Gujarati printed numerals from an image. To the best of our knowledge, there is no work reported for segmentation and recognition of Gujarati printed numerals from an image. of Computer Science, Veer Narmad South Gujarat University, Surat, Gujarat, IndiaĪbstract– Recognition of numerals in an image is very difficult issue because there is no prior knowledge about the color of numerals, distribution of lighting, noise, complexity of background, shape similarity etc. Institute of Computer Studies, Bharuch, Gujarat, India.ĭept. Segmentation and Recognition of Gujarati Printed Numerals from Image
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