An end-to-end real-time scene text localization and recognition method is presented. The
real-time performance is achieved by posing the character detection problem as an efficient …

A general method for text localization and recognition in real-world images is presented. The
proposed method is novel, as it (i) departs from a strict feed-forward pipeline and replaces it …

This paper presents a vehicle license plate recognition method based on character-specific
extremal regions (ERs) and hybrid discriminative restricted Boltzmann machines (HDRBMs) …

In this paper, we present a new scene text detection algorithm based on two machine
learning classifiers: one allows us to generate candidate word regions and the other filters …

This paper introduces a tracking method for the well known local MSER (Maximally Stable
Extremal Region) detector. The component tree is used as an efficient data structure, which …

An end-to-end real-time text localization and recognition method is presented. Its real-time
performance is achieved by posing the character detection and segmentation problem as an …

An efficient method for text localization and recognition in real-world images is proposed.
Thanks to effective pruning, it is able to exhaustively search the space of all character …

In many microscopy applications the images may contain both regions of low and high cell
densities corresponding to different tissues or colonies at different stages of growth. This …

We present a hybrid algorithm for detection and tracking of text in natural scenes that goes
beyond the full-detection approaches in terms of time performance optimization. A state-of …

In recent years, significant progress has been made in detecting text in scene images.
However, most of state-of-the-art approaches can not work well when encountered blurred …