The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large
amount of data is created per examination which needs to be checked for sufficient quality in …

The identification of plants is often based on leaf recognition. Ipomoea spp., a dicotyledon
weed present in sugarcane plantations, has unique vesiculated venation patterns that can …

In this paper, we propose a new font and size identification method for ultra-low resolution
Arabic word images using a stochastic approach. The literature has proved the difficulty for …

Building a highly efficient machine learning model requires sufficient data to allow robust
feature extraction capable of recognizing patterns in each class; thus, the model can …

Font recognition is useful for improving optical text recognition systems' accuracy and time,
and to restore the documents' original formats. This paper addresses a need for Arabic font …

Chinese font recognition (CFR) has gained significant attention in recent years. However,
due to the sparsity of labeled font samples and the structural complexity of Chinese …

Despite the importance of recognizing Arabic calligraphy styles and their potential
usefulness for many applications, a very limited number of Arabic calligraphy style …

Due to the proliferation of sports-related multimedia content on the WWW, effective visual
search and retrieval present interesting research challenges. These are caused by poor …

This work endeavors to present an automatic system for Arabic-calligraphy style
classification. The main issue one faces in order to fulfill such a task is the unavailability of …