This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …

Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …

This paper offers an overview of the current approaches to research in the field of off-line
multilingual OCR. Typically, off-line OCR systems are designed for a particular script or …

Text present in images are not merely strings, they provide useful cues about the image.
Despite their utility in better image understanding, scene texts are not used in traditional …

The growth in digital camera usage combined with a worldly abundance of text has
translated to a rich new era for a classic problem of pattern recognition, reading. While …

Text recognition in the wild is a challenging task in the field of computer vision and machine
learning. Existing optical character recognition engines cannot perform well in the natural …

In recent years, Long Short-Term Memory Recurrent Neural Networks (LSTM-RNNs) trained
with the Connectionist Temporal Classification (CTC) objective won many international …

The accuracy of current natural scene text recognition algorithms is limited by the poor
performance of character recognition methods for these images. The complex backgrounds …

Recognizing scene text is a challenging problem, even more so than the recognition of
scanned documents. This problem has gained significant attention from the computer vision …

In this paper we investigate the challenging problem of cursive text recognition in natural
scene images. In particular, we have focused on isolated Urdu character recognition in …