CNN-based Methods for Offline Arabic Handwriting Recognition: A Review
Mohsine El Khayati,
Ismail Kich,
Youssef Taouil
Abstract:Arabic Handwriting Recognition (AHR) is a complex task involving the transformation of handwritten Arabic text from image format into machine-readable data, holding immense potential across various applications. Despite its significance, AHR encounters formidable challenges due to the intricate nature of Arabic script and the diverse array of handwriting styles. In recent years, Convolutional Neural Networks (CNNs) have emerged as a pivotal and promising solution to address these challenges, demonstrating rema… Show more
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