1. Text Extraction From Image Using MATLAB
- Author
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Gourav Chakraborty, Saradindu Panda, and Sangita Roy
- Subjects
Maximally stable extremal regions ,business.industry ,Computer science ,Search engine indexing ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Optical character recognition ,Object (computer science) ,computer.software_genre ,Image (mathematics) ,Identification (information) ,Canny edge detector ,Computer vision ,Artificial intelligence ,business ,computer ,Image restoration - Abstract
The goal of this paper is for extricating the text present in image and identify the text written using MATLAB programming language. Text Extrication from image and recognition as a whole have enormous relevance from the point of view of application, like content-based image restoration, document indexing and identification. Moreover, this triggers vast advanced systems. This work is focusing on detecting text in an image. To find a special sign in a natural image is sometimes frustrating. By using this method, it is easy to identify this type of object in an image like traffic sign, using Optical Character Recognition (OCR). Automatic task detection algorithms help to identify such situations in an image and highly efficient. It also uses Canny Edge Detection to discover the boundaries of the text present in the image from the Maximally Stable Extremal Regions (MSER).
- Published
- 2020
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