Efficient segmentation of printed tamil script into characters using projection and structure

Kathirvalavakumar, T.; Mohan, K.

doi:10.1109/iciip.2017.8313765

2017 Fourth International Conference on Image Information Processing (ICIIP) 2017

DOI: 10.1109/iciip.2017.8313765

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Efficient segmentation of printed tamil script into characters using projection and structure

T. Kathirvalavakumar

K. Mohan

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2023

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Cited by 2 publications

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“…The researchers need an extensive data acquisition method to capture the manuscripts in high quality under good lighting condition to attain remarkable results [6]. Further it is essential to understand the structural morphologies of Tamil characters and utilize proper techniques to handle noise, text alignment and overlapping text [7].…”

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confidence: 99%

Ancient Character Recognition: A Comprehensive Review

Krithiga,

Varsini,

Gabriel Joshua

et al. 2023

IEEE Access

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Deep learning-based character recognition of Tamil inscriptions plays a significant role in preserving the ancient Tamil language. The complexity of the task lies in the precise classification of the age-old Tamil letters (Vattezhuthu) into modern-day Tamil letter structures. Various methodologies and pre-processing techniques have been used for denoising the ancient Tamil manuscript to retrieve the Tamil text. Researchers have used various synthesized and scanned images of stone wall inscriptions, palm leaves manuscripts, and offline handwritten characters for their analysis. Over the years, Ancient Tamil scripts have deteriorated with time due to various natural calamities. Strong denoising and feature extraction methods are required to separate the letters accurately to tackle this issue. Techniques such as CNN(OCR), ResNet, SVM, KNN, HorVer method, etc., are utilized to digitize Tamil characters. This technique has successfully converted handwritten characters into digitalized text for multiple languages, including Tamil, Arabic, English, Latin, Chinese, German, etc. Different models have been evaluated based on their segmentation and recognition rates, accuracy, detection rate, precision, and confusion matrix. This paper will concentrate on Ancient Tamil character segmentation and recognition models. Besides, we will give an overview of the different models and datasets available. Lastly, we summarise the key challenges and the future scope related to the topic.

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confidence: 99%

Ancient Character Recognition: A Comprehensive Review

Krithiga,

Varsini,

Gabriel Joshua

et al. 2023

IEEE Access

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Word and character segmentation in ancient handwritten documents in Devanagari and Maithili scripts using horizontal zoning

Jindal¹,

Ghosh²

2023

Expert Systems with Applications

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Efficient segmentation of printed tamil script into characters using projection and structure

Cited by 2 publications

References 12 publications

Ancient Character Recognition: A Comprehensive Review

Ancient Character Recognition: A Comprehensive Review

Word and character segmentation in ancient handwritten documents in Devanagari and Maithili scripts using horizontal zoning

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