A Database for Handwritten Yoruba Characters

Autor:	Sanjay Misra, Adewole Adewumi, Samuel Ojumah
Rok vydání:	2018
Předmět:	Computer science business.industry Yoruba computer.software_genre language.human_language Test (assessment) Identification (information) ComputingMethodologies_PATTERNRECOGNITION Handwriting language Artificial intelligence business computer Character recognition Natural language processing
Zdroj:	Data Science and Analytics ISBN: 9789811085260
Popis:	This paper describes a novel publicly available dataset for research on offline Yoruba handwritten character recognition. It contains a total of 6954 characters being made up of several categories from a total number of 183 writers thus making it the largest available dataset for Yoruba handwriting research. It can be used for designing and evaluating handwritten character recognition systems for the Yoruba language as well as provide valuable insights through writer identification. The dataset has been partitioned into training and test sets being shared into 70% and 30% respectively.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8ec4bb88802118fdc1a88b4c44ab0c2 https://doi.org/10.1007/978-981-10-8527-7_10 Zobrazit plný text záznamu