Insight on character recognition for calligraphy digitization

Devi, K. Durga; Maheswari, P. Uma

doi:10.1109/tiar.2017.8273690

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…The erosion transformation of X by B is defined as the set of points x such that the translated Bx is contained in X and is expressed as below (1) Erosion operation shrinks the image object. The degree of required shrinking and the direction of the shrinking can be controlled by defining the characteristics of the structuring element.…”

Section: Erosionmentioning

confidence: 99%

“…These structures, along with other artifacts such as inscribed stones, palm leaves, copper plates, wooden artifacts, pillars, temple walls, rock beds, and potsherds, are believed to hold valuable information and knowledge from ancient times. The primary purpose of such inscriptions and repositories is to safeguard and transmit historical information across generations [1,2,3].…”

Section: Introductionmentioning

confidence: 99%

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Comparative Study: Enhancing Legibility of Ancient Indian Script Images from Diverse Stone Background Structures using 34 Different Pre-Processing Methods

Maheshwari

2023

Preprint

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In recent times, there has been a proactive effort by various institutions and organizations to preserve historic manuscripts as repositories of traditional knowledge and cultural heritage. Leveraging digital media and emerging technologies has proven to be an efficient way to safeguard these invaluable documents. Such technologies not only facilitate the extraction of knowledge from historic manuscripts but also hold promise for global applications. However, transforming inscribed stone artifacts into binary formats presents significant challenges due to angle distortion, subtle differences between foreground and background, background noise, variations in text size, and related issues. A pivotal aspect of effective image processing in preserving the rich information and wisdom encoded in stone inscriptions lies in employing appropriate pre-processing methods and techniques. This research paper places a special focus on elucidating various preprocessing techniques, encompassing resizing, grayscale conversion, enhancement of brightness and contrast, smoothening, noise removal, morphological operations, and thresholding. To comprehensively assess these techniques, we undertake a study involving stone inscription images extracted from the Tanjore Brihadeeswar Temple, dating back to the 11th century during the reign of Raja Raja Chola. This choice is informed by the manifold challenges associated with image correction, such as distortion and blurring. We undertake an evaluation encompassing a diverse array of stone background structures, including types like flawless-bright-moderately legible, dark-illegible, flawless-bright-illegible, flawless-dull, flawless-irregular-moderate, highly impaired-dark-legible, highly impaired-irregular-illegible, impaired-dark-moderate, impaired-dull-moderately legible, impaired-dusky dark-moderate, and very impaired-dusky dark-legible. Subsequently, the processed outputs are subjected to character recognition and information extraction, with a focus on comparing the outcomes of various pre-processing methods, including binarization and grayscale conversion. This study seeks to contribute insights into the most effective pre-processing strategies for enhancing the legibility and preservation of ancient Indian script images etched onto diverse stone background structures.

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Section: Erosionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%