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

High level semantics embodied in scene texts are both rich and clear and thus can serve as
important cues for a wide range of vision applications, for instance, image understanding …

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 …

Text data present in multimedia contain useful information for automatic annotation,
indexing. Extracted information used for recognition of the overlay or scene text from a given …

Text displayed in a video is an essential part for the high-level semantic information of the
video content. Therefore, video text can be used as a valuable source for automated video …

This report explores the latest advances in the field of digital document recognition. With the
focus on printed document imagery, we discuss the major developments in optical character …

Abstract Knowledge extraction by just listening to sounds is a distinctive property. Speech
signal is more effective means of communication than text because blind and visually …

Achieving good accuracy for text detection and recognition is a challenging and interesting
problem in the field of video document analysis because of the presences of both graphics …

Text embedded in multimedia documents represents an important semantic information that
helps to automatically access the content. This paper proposes two neural-based optical …

In this paper, we address two complex issues: 1) Text frame classification and 2) Multi-
oriented text detection in video text frame. We first divide a video frame into 16 blocks and …