Khayyam离线波斯语手写数据集
Khayyam Offline Persian Handwriting Dataset
AI总结：
本文提出Khayyam离线波斯语手写数据集，包含44000个词、60000个字母和6000个数字，由400名母语书写者填写，并验证了其在机器学习手写识别任务中的适用性。
摘要：
手写分析在机器学习中仍是一个重要应用。任何手写识别应用的基本要求是拥有全面的数据集。标准标注数据集在训练和评估学习算法中发挥重要作用。本文提出Khayyam数据集，作为另一个大型无约束手写数据集，涵盖波斯语元素（词、句、字母、数字）。我们有意专注于收集当前数据集中罕见的波斯语词样本。Khayyam数据集包含44000个词、60000个字母和6000个数字。此外，表格由400名波斯语母语书写者填写。为展示数据集的适用性，在数字、字母和词数据上训练了机器学习算法并报告了结果。该数据集可供研究和学术使用。
英文摘要：
Handwriting analysis is still an important application in machine learning. A basic requirement for any handwriting recognition application is the availability of comprehensive datasets. Standard labelled datasets play a significant role in training and evaluating learning algorithms. In this paper, we present the Khayyam dataset as another large unconstrained handwriting dataset for elements (words, sentences, letters, digits) of the Persian language. We intentionally concentrated on collecting Persian word samples which are rare in the currently available datasets. Khayyam's dataset contains 44000 words, 60000 letters, and 6000 digits. Moreover, the forms were filled out by 400 native Persian writers. To show the applicability of the dataset, machine learning algorithms are trained on the digits, letters, and word data and results are reported. This dataset is available for research and academic use.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
