Text information extraction (TIE) from images is an open research area because of its
unsolved challenges with respect to the heterogeneity in image types, mode of image …

Text present in an image or a video is a good representative as it provides semantic
information of a respective image or video frame. Nowadays detection of textual information …

Text present in images provides important information for automatic annotation, indexing
and retrieval. Therefore, its extraction is a well-known research area in computer vision …

A pioneer conceptual combination of level set method and Gaussian Mixture Model (GMM)
is presented in the described multilingual, arbitrary-oriented character segmentation. The …

Text detection and communication in the automotive context has attracted the attention of
researchers only over the past few years. Detecting text in the automotive context, as …

Text present in image provides important information for automatic annotation, indexing and
retrieval. Therefore, its extraction is a well known research area in computer vision …

The present paper presents one of the efficient approaches toward multilingual text
detection for video indexing. In this paper, we propose a method for detecting textlocated in …

A new sequential circuit test generator, ALT-TEST, is described which alternates repeatedly
between two phases of test generation. The first phase uses a simulation-based genetic …

Pre-processing of document images is one of the most intensive operations for pre-printed
document images. The recognition of text in pre-printed documents is most sensitive to …

Text in images and video contains important information for visual content understanding,
indexing, and recognizing. Extraction of this information involves preprocessing, localization …