Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that
converts document images into machine-readable codes. In DIA systems, Optical Character …

In computer vision and artificial intelligence, text recognition and analysis based on images
play a key role in the text retrieving process. Enabling a machine learning technique to …

This paper presents the first Pashto text image database for scientific research and thereby
the first dataset with complete handwritten and printed text line images which ultimately …

Since a pen is more convenient than a keyboard, most scripts are now produced by hand;
this often leads to mistakes due to the illegibility of human handwriting. To combat this issue …

In document image analysis (DIA) especially in handwritten document recognition, standard
databases play significant roles for evaluating performances of algorithms and comparing …

This article introduces a large handwritten text document image corpus dataset for Urdu
script named CALAM (Cursive And Language Adaptive Methodologies). The database …

Pashto is the native language of Afghanistan and one of Pakistan's most essential and
regional languages. The Pashto language has a vast number of native speakers who live in …

In the area of machine learning, different techniques are used to train machines and perform
different tasks like computer vision, data analysis, natural language processing, and speech …

Detection and recognition of handwritten English language characters and numerals is
facing challenges due to the huge variation and haziness of strokes from one individual to …

Automatic recognition of Urdu handwritten digits and characters, is a challenging task. It has
applications in postal address reading, bank's cheque processing, and digitization and …