Background Corpora play a vital role when training machine learning (ML) models and
building systems that use natural language processing (NLP). It can be challenging for …

Handwriting recognition is a multi-step process that includes data collection, preprocessing,
feature extraction, and classification in order to create a final prediction. This process …

Handwriting text recognition for computer systems has been the subject of more and more
research. Recognition of Arabic handwritten text is always an ongoing challenge, mainly …

(IFN/ENIT). Then, we trained the k-nearest neighbor's algorithm (k-NN) algorithm to generate
the best model for each feature extraction descriptor. The best k-NN model, according to …

Due to the nature of Arabic handwriting, segmenting words into characters/graphemes is the
most difficult and critical task of the recognition system. The present paper proposes an …

Abstract Optical Character Recognition OCR is an essential part of many real-world
applications such as digital archiving, automatic number plate recognition, handle cheques …

In this paper, we propose a novel approach to address the challenges of printed Urdu text
recognition using high-resolution, multi-scale semantic feature extraction. Our proposed …

With advances in machine learning techniques, handwriting recognition systems have
gained a great deal of importance. Lately, the increasing popularity of handheld computers …

The Islamic heritage is rich of Arabic manuscripts that contain valuable knowledge of Islamic
Sciences, such as Hadeethe, Tafseer and Akhidah. However, these manuscripts are hard to …

The extraction of text lines from document images is a critical step in optical character
recognition. It is still considered an open document analysis problem. The presence of …