Automatic text localization and segmentation in a normal environment with vertical or curved
texts are core elements of numerous tasks comprising the identification of vehicles and self …

Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …

In recent years, the rapid development of deep learning has led to a wide range of
applications in the field of medical image classification. The variants of neural network …

Urdu is a widely spoken and narrated language in several South-Asian countries and
communities worldwide. It is relatively hard to recognize Urdu text compared to other …

Unsupervised domain adaptation (UDA) is widely utilized to accomplish the visual object
recognition task in the field of consumer electronics, aiming at reducing labeling costs in …

废旧电子产品“互联网+ 回收” 模式的推广, 使得无人化, 智能化的废旧手机(UMP)
回收装备成为典型城市固体废物资源化领域的重点关注对象. 本文以基于回收装备的UMP …

Character recognition for the Urdu language is always a tedious task because of its
complexity as Urdu words are composed of ligatures that further consist of primary and …

The font invariant recognition of Urdu optical characters is a difficult task due to the nature of
Nastalique script. Urdu Nastalique is a complex script as it is excessively cursive and …

Deep neural networks perform well in image recognition, object recognition, pattern
analysis, and speech recognition. In military applications, deep neural networks can detect …

In recent years, Urdu Optical Character Recognition (OCR) systems have received
considerable attention due to the increasing demand for automated recognition and analysis …