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Enhancing image-to-text recognition using image processing techniques

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dc.contributor.authorOrencia, Joshua C.
dc.contributor.authorHipol, Charl Janine R.
dc.contributor.authorMadriaga, Justine C.
dc.contributor.authorMosico, Ma. Trisha Abigail G.
dc.contributor.authorUbungen, Karla Mae P.
dc.date.accessioned2025-09-09T07:05:27Z
dc.date.available2025-09-09T07:05:27Z
dc.date.issued2023-05
dc.descriptionFull text.
dc.description.abstractImage recognition has gained considerable attention in the field of research. If attracted researchers to experiment on its application, impact, and contribution to different scientific fields. Several applications with image recognition are available nowadays. However, their performance results still needed improvement especially in terms of detecting and recognizing text images from signages or scene texts with blurry images. With this, the researchers aimed to enhance the image-to-text recognition of the existing algorithm using image pre-processing techniques such as blind deconvolution, sharpening, or a combination of both. Specifically, the researchers wanted to compare the performance of image-to-text-recognition of the existing algorithms before and after applying preprocessing steps, Improve the existing algorithm s performance, and compare the existing algorithm's performance to the current state-of-the-art Scene Text Recognition (STR) by computing its Character Recognition (CER), Word Error Recognition (WER), Confidence Score and Minimum Edit Distance (MED). The proposed techniques showed a significant improvement in text recognition by enhancing the quality of the images. This indicated that the sharpening process has successfully enhanced the clarity and sharpness of the text, resulting in a more accurate recognition. The proposed wiener filtering achieved a 0.35% higher than the baseline and the proposed unsharp masking 0.16% higher than the baseline.
dc.identifier.citationOrencia, J. C., Hipol, C. J., Madriaga, J. C., Mosico, M. T. A. G., & Ubungen, K. M. P. (2023) Enhancing image-to-text recognition using image processing techniques [Unpublished Undergraduate thesis]. Don Mariano Marcos Memorial State University - South La Union Campus, Agoo, La Union.
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/379
dc.language.isoen_US
dc.publisherDon Mariano Marcos Memorial State University - South La Union Campus
dc.sdgSDG 4
dc.titleEnhancing image-to-text recognition using image processing techniques
dc.typeThesis
dspace.entity.typePublication
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