In present day video text greatly helps video indexing and retrieval system as they often carry significant semantic information. Video text analysis is challenging due to varying background, multiple orientations and low contrast between text and non-text regions. Proposed approach explores a new framework for curved video text detection and recognition where from the observation that curve te...

In this paper we propose a technique for detecting and correcting the skew of text areas in a document. The documents we work with may contain several areas of text with different skew angles. First, a text localization procedure is applied based on connected components analysis. Specifically, the connected components of the document are extracted and filtered according to their size and geomet...

Optical Character Recognition (OCR) is a technology that enable of you to convert different types of documents, such as scanned paper documents, either hand written or machine printed script, PDF files or images captured by a digital camera into editable and searchable data. Our intention is to build an automatic text localization and extraction system which is able to accept different types of...

In this paper, we propose a novel algorithm to detect text information from natural scene images. Scene text classification and detection are still open research topics. Our proposed algorithm is able to model both character appearance and structure to generate representative and discriminative text descriptors. The contributions of this paper include three aspects: 1) a new character appearanc...

According to the work mechanism of space synthetic aperture radar (SAR), this text introduced the localization algorithms of SAR image and the method of system error adjustment. On the basis of the concept of the azimuth circle and the combination of the north direction coordinate system of geography, carries on the adjustment to the localization data, so increased the SAR image localization ac...

This paper presents a multiple frames integration based approach to detect and localize static caption texts on news videos. Utilizing the temporal information of videos, the algorithm includes robust text features and the non-text line deletion technique, and yields precise and tight localization for detected text regions. The Canny edge detector is first applied on reference frames and is fol...

Text detection in images of natural scenes is important for scene understanding, content-based image analysis, assistive navigation and automatic geocoding. Achieving such text detection is challenging due to complex backgrounds, non-uniform illumination, and variations in text font, size, and orientation. In this paper, we present a novel hybrid approach for detecting text robustly in natural ...

This paper deals with the application of a multi-channel ltering-based texture segmentation method to a variety of document image processing problems: text-graphics separation, address-block location, and bar code localization. Both supervised and unsuper-vised methods have been used to identify regions of text or bar code in the input gray level document images. The performance of our segmenta...

This paper describes a vision-based landmark recognition system for use with mobile robot navigation tasks. A search algorithm based on genetic techniques for pattern recognition in digital images is presented. The developed system allows the topologic localization of a mobile robot using natural and artificial landmarks. Text strings inside landmarks can be read and interpreted, if