Optical character correction of large-curvature annular sector text in polar coordinate system

Wang, Ruiping; Cao, Wenming; Wu, Shihong; Meng, Jian; Wang, Xiaoping

doi:10.1016/j.patrec.2023.02.013

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The amount of fine tuning is determined by the size of the average gray value. There is a curve function relationship between the average gray value and the fine-tuning amount [26]. Comparing the improved binarization effect with the traditional binarization effect, the improved binarization effect is significantly improved.…”

Section: B Analysis Of Text Recognition Effectmentioning

confidence: 98%

Improved Ant Colony Algorithm Based on Binarization in Computer Text Recognition

2024

IJACSA

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Pheromones, path selection, and probability transfer functions are the main factors that affect the performance of computer text recognition. The path selection function is the most important factor affecting the recognition rate. In response to the difficulties in path selection and slow algorithm convergence in the text recognition, an edge detection algorithm based on improved ant colony optimization algorithm is proposed. The strong denoising performance of the ant colony optimization algorithm reduces the interference of textured backgrounds. The edge extraction effect is analyzed in the connected domain to overcome complex effects. Finally, the improved Otsu binarization algorithm is used to recognize the text. According to the results, the proposed method could effectively preserve the edge information of characters in images. The positioning effect of the text area was good. The accuracy rate reached around 85%. The tuned threshold improved the binarization effect. The text recognition rate of the improved ant colony algorithm proposed in the research has generally reached 80%, with good text positioning accuracy and recognition rate, which has great practical significance in computer text recognition.

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Section: B Analysis Of Text Recognition Effectmentioning

confidence: 98%

Improved Ant Colony Algorithm Based on Binarization in Computer Text Recognition

2024

IJACSA

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Heat transfer characteristics and thermal insulation optimization of buried ductile iron heat-supply pipeline

Song,

Cao

2023

International Journal of Sustainable Energy

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Thinning Chinese, Korean, Japanese and Thai script for segmentation-free OCRs

Abdul Majid,

Qinbo,

Dil Nawaz Hakro

et al. 2024

IJSRCSEIT

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While searching on the internet, the OCR keyword will return a thousand research papers on optical character recognition. These papers are ranging from Latin language scripts, Cyrillic, Devanagari, Korean, Japanese, Chinese and Arabic scripts. Sindhi and many other languages extend the Arabic script in which base characters are same while the other characters are adopted in a same situation. Many of the languages possess OCRs for their languages but still there are some other languages which still require the OCRs for their language. The paper is organized in various sections such as introduction followed by Sindhi language characteristics. The OCR approaches and methods are explained. The last section describes the conclusion and future work. An OCR is a set of complex steps to convert image text to editable text. Skeletonization or shrining a word or character body is a method which helps to recognize text more easily. Multiple languages impose various challenges and are hard to recognize and skeletonization or thinning produces a new image which can be easy to recognize. The connected elements are found with this approach. A custom-built software has been developed to interface the generalized thinning algorithm so that the scripts of Chinese, Japanese, Korean and Thai be tested. The output of this algorithm is the final image to be used for the further processing of the OCR. Although the intention was to create algorithms for segmentation free OCRs, the study results and the software can also be used for segmentation-based algorithms. The generalized algorithm shows the accuracy of more than 95% for the experimented four scripts.

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Optical character correction of large-curvature annular sector text in polar coordinate system

Cited by 3 publications

References 13 publications

Improved Ant Colony Algorithm Based on Binarization in Computer Text Recognition

Improved Ant Colony Algorithm Based on Binarization in Computer Text Recognition

Heat transfer characteristics and thermal insulation optimization of buried ductile iron heat-supply pipeline

Thinning Chinese, Korean, Japanese and Thai script for segmentation-free OCRs

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