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Devanagari

About: Devanagari is a research topic. Over the lifetime, 655 publications have been published within this topic receiving 7428 citations. The topic is also known as: Deva nagari & Hindi Script.


Papers
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Proceedings ArticleDOI
24 Nov 2022
TL;DR: In this article , a single-trial P300 detection using compact CNN architecture with dilated convolution (D-EEGNet) was proposed, which achieved a classification accuracy of 80.86 % for a Devanagari Script-based P300 speller.
Abstract: P300 speller is a well-known Brain-Computer Interface (BCI) application that allows users to spell words using cognitive ability and establishes a pathway between the human mind and a computer. P300 detection is the most crucial stage in the design of the P300 character speller. However, present Convolutional Neural Network (CNN) architectures hinder the use of CNNs in portable BCIs as they restrict future accuracy improvements of P300 detection and require significant complexity to attain competitive accuracy. Furthermore, the multi-trial approach adopted in most of the recent works is a major bottleneck in the real-time implementation of such a speller. To deal with both issues, the authors propose a single trial P300 detection using compact CNN architecture with dilated convolution (D-EEGNet). The proposed model with 1066 parameters achieves a classification accuracy of 80.86 % for a Devanagari Script-based P300 speller. Apart from lessening the trainable parameters, D-EEGNet also reduces computational complexity. Moreover, the proposed model demonstrates the ability to deal with high variance often encountered in single-trial detection.

1 citations

Book ChapterDOI
01 Jan 2019
TL;DR: This paper explores the effectiveness of fuzzy, rough, and rough fuzzy k-means clustering to segment touching characters in Devanagari, Assamese, and Bangla printed scripts and reveals that soft k-Means are an effective alternative method for segmenting touching characters.
Abstract: Segmentation of characters from the printed script is an important preprocessing step in automatic Optical Character Recognition (OCR). The performances of the various machine learning algorithms depend on the results of segmentation of the characters. The situation is more challenging when the scripts contain touching characters. Touching characters are predominant in different Indian scripts like Assamese, Bangla, Devanagari, Oriya, Gurmukhi, and many others. In such cases, the accuracy of an OCR system depends on the quality of segmentation of touching characters. In this paper, we explore the effectiveness of fuzzy, rough, and rough fuzzy k-means clustering to segment touching characters. We use different compound characters dataset from Devanagari, Assamese, and Bangla printed scripts for experimentation. Our results reveal that soft k-means are an effective alternative method for segmenting touching characters.

1 citations

Book ChapterDOI
07 Nov 2011
TL;DR: This paper makes an attempt to segment the handwritten Marathi words using Devanagari script using a technique which performs necessary pre-processing of a word, finds joint points in the word, identify vertical and horizontal lines and finally dissect touching characters by taking into account its dimensions namely height and width of bounding box.
Abstract: Segmentation in image processing refers to the process of partitioning a digital image into multiple segments. This paper makes an attempt to segment the handwritten Marathi words using Devanagari script. Segmentation of handwritten words into characters is a challenging task primarily because of complexity of structural features of the script and varied writing styles. Without dissecting these touching characters, we cannot recognize the individual characters, hence arises the need for segmentation of touching characters in a word. Paper proposes a technique which performs necessary pre-processing of a word, finds joint points in the word, identify vertical and horizontal lines and finally dissect touching characters by taking into account its dimensions namely height and width of bounding box.

1 citations

Book
30 Jul 2010
TL;DR: The Devanagari syllabary is introduced and examples of Hindi handwriting are shown, including simple sentences and commands and some more writing conventions.
Abstract: Preface: How to use this book 01 Introducing Devanagari 02 The Devanagari syllabary 03 Consonants 04 Vowels 05 Simple sentences and commands 06 Conjunct consonants 07 Some more writing conventions 08 More about Hindi words and spelling Appendix 1: Examples of Hindi handwriting Appendix 2: Minimal pairs Appendix 3: Reading practice Appendix 4: Key to the exercises Appendix 5: The figures explained Appendix 6: Index of terms Glossary Some further reading

1 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202342
202298
202148
202061
201938
201843