Multi-level Image Enhancement for Text Recognition System using Hybrid Filters
Keywords:
Image Enhancement, Text Recognition System, Gurmukhi, Typewritten Text, FiltersAbstract
OCR, document scanning, and other uses for the image-based text recognition technology are common. However, the accuracy of recognition is greatly influenced by the quality of the image that was used to capture it. other environmental elements, including as illumination, camera motion, and other sounds, might damage the acquired image. The image quality must be improved as a result before being input into the recognition system. In this research, a multi-level hybrid filter-based image enhancement method is proposed to increase the image quality. The effectiveness of the proposed strategy is done using various indicators, including PSNR, MSE, SC, and NAE. The outcomes show how the suggested method is efficient at enhancing the quality of the acquired image, which can greatly improve the performance of the text recognition system.
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