CHARACTER RECOGNITION USING IMAGE PROCESSING

Computer Engineering

Creating an android character recognition app to read text from an image is a great area for research. Today, it is customary to store information from handwritten documents for future reference. Translated text can be easily edited, searched and processed in many other ways depending on the needs. Character recognition systems translate such scanned images of printed, typed or handwritten documents into coded text. How to convert handwritten data into an electronic format for Visualization. Includes a few steps that include pre-processing. separation, feature removal and post-processing. Image information is enhanced with the help of a technique called pre-image processing. This image data is used as input. For the subsequent processing of the inserted image, the pre-image processing method also enhances the image attributes. The biggest challenge is seeing the characters of different styles of handwriting. Thus, the system is designed to detect handwritten data for editing text. The outcome of this program depends on the information that the author has to write. Representation of the samples as points in the mapped space so that the samples of each category are divided using a large vector known as the SVM model. Supporting vectors are the same distances from the main vector both from left and right from that larger vector. The results show that the proposed system produces excellent recognition standards similar to those of schemes based on the characteristics of handwriting recognition, high accuracy, precision and memory compared to the existing method.

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