Jabde Meenal K, Patil Chandrashekhar H, Vibhute Amol D, Mali Shankar
School of Computer Science, Dr. Vishwanath Karad MIT World Peace University, Pune, MH, India.
Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune-411016, MH, India.
Data Brief. 2023 Oct 31;51:109743. doi: 10.1016/j.dib.2023.109743. eCollection 2023 Dec.
The real-time air-writing multilingual datasets are widely used for several purposes, such as handwriting character or numeral pattern recognition. The air-writing systems are commonly used in operation theatres, online education systems, banking sectors, reservation counters, etc. However, the air-written numeral datasets are less for Devanagari and English languages needed for detecting patterns. Therefore, the present article introduces novel datasets written in the air for Devanagari and English. In addition, this article proposes a systematic novel strategy to collect the air-written multilingual numeral dataset from 100 individuals ranging in 20-40 age groups. The Devanagari and English 0-9 digits were ten times written in the air by every individual resulting in 10,000 images for each language. Thus, 20,000 images were generated and stored in the databases. The proposed dataset is freely available and could be a good resource for pattern recognition research.
实时空中书写多语言数据集被广泛用于多种目的，例如手写字符或数字模式识别。空中书写系统常用于手术室、在线教育系统、银行部门、预订柜台等。然而，用于检测模式所需的梵文和英文的空中书写数字数据集较少。因此，本文介绍了用梵文和英文在空中书写的新颖数据集。此外，本文提出了一种系统的新颖策略，从100名年龄在20至40岁之间的个体中收集空中书写的多语言数字数据集。每个个体将梵文和英文的0至9数字在空中书写十次，每种语言生成10000张图像。因此，共生成20000张图像并存储在数据库中。所提出的数据集可免费获取，可能是模式识别研究的良好资源。
