Devnagari-Script

OpenML dataset with id 40923

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/16789311/Devnagari-Script.arff

Upload date: 26 September 2017

Dataset Characteristics

Number of classes: 46
Number of features: 1,025 (numeric: 1,024, symbolic: 1 and in total binary: 0 )
Number of instances: 92,000
Number of instances with missing values: 0
Number of missing values: 0

Description

Author: Prashnna K Gyawali, Shailesh Acharya, Ashok Pant Source: Computer Vision Research Group, Nepal, Kaggle Please cite: Acharya S., Pant A.K., Gyawali P.K.,”Deep Learning based large scale handwritten Devanagari Character Recognition” Proceeding of 9th International Conference on Software, Knowledge, Information Management & Applications

Character Recognition for Devanagari Script

In human civilisation, languages evolved first, and then came scripts. The Devanagari script is one of the oldest scripts of India, having evolved from the ancient Brahmi script. It came to be adopted widely from around the 7th century CE, and is the world’s fourth most used script after Latin, Chinese and Arabic. It is used in nearly 120 languages and dialects, including Nepali, Marathi and, of course, Hindi. It is also the script in which Sanskrit, the language of holy Hindu scriptures, is written. In fact, the word Devanagari means ‘that from the city of gods’. Its distinguishing feature is a horizontal bar drawn at the top to connect the letters forming each word.

This dataset consists of 92 thousand images (32x32 pixels) of 46 characters from Devanagari script. Includes the alphabet as well as the numbers. Devanagari is an Indic script and forms a basis for over 100 languages spoken in India and Nepal including Hindi, Marathi, Sanskrit, and Maithili. It comprises of 47 primary alphabets, 14 vowels, and 33 consonants, and 10 digits. In addition, the alphabets are modified when a vowel is added to a consonant. There is no capitalization of alphabets, unlike Latin languages.

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