Arabic Handwritten Letters Dataset (AHLD)

Arabic handwritten letters Dataset (AHLD) consists of 8,000 handwritten Arabic letter images of size 128x128 pixels, distributed into 28 classes (Arabic alphabets). This dataset is derived from processing 582 images, each containing several letters, written by 15 individuals. The dataset creation involves a series of image processing operations: image acquisition, grayscale conversion, binarization, noise reduction, segmentation, normalization, skeletonization, and dataset labeling. The final AHLD dataset was divided into two parts: the first represents 70% of the total dataset and will be used for training, and the second represents the remaining 30% of the dataset and will be used for testing.Total dataset: 8000 images.Training set: 70% of the dataset (5601 images).Testing set: 30% of the dataset (2399 images).Number of classes (labels): 28 Arabic alphabet letters.Image size: 128x128 pixels.

阿拉伯手写字母数据集（AHLD）由8,000张128x128像素大小的手写阿拉伯字母图像组成，这些图像被划分为28个类别（阿拉伯字母）。该数据集源于对582张图像的处理，每张图像包含多个字母，由15位个体所书写。数据集的构建涉及一系列图像处理操作：图像采集、灰度转换、二值化、噪声消除、分割、归一化、骨架化和数据集标注。最终构建的AHLD数据集被分为两部分：第一部分代表总数据集的70%，将用于训练；第二部分代表数据集剩余的30%，将用于测试。总数据集包含8,000张图像，训练集为数据集的70%（5601张图像），测试集为数据集的30%（2399张图像）。类别（标签）数量：28个阿拉伯字母。图像尺寸：128x128像素。