Most existing scene text detectors focus on detecting characters or words that only capture partial messages due to missing contextual information. For a better understanding of in scenes, it is more desired detect blocks (CTBs) which consist one multiple integral units (e.g., characters, words, phrases) natural reading order and transmit certain complete messages. This paper presents detection...

Transcription of handwritten text in (old) documents is an important, time-consuming task for digital libraries. In this paper, an efficient interactivepredictive transcription prototype called GIDOC (Gimp-based Interactive transcription of old text DOCuments) is presented. GIDOC is a first attempt to provide integrated support for interactive-predictive page layout analysis, text line detectio...

Many researchers have been investigating the task of plagiarism detection lately. In this paper we present RDI system for intrinsic plagiarism detection (RDI_RID). RDI_RID system was the only system that participated in intrinsic track of the Arabic language plagiarism detection competition. RDI_RID system achieved a PlagDet (Plagiarism Detection score) of 19% compared to 38% achieved by the ba...

Recently, scene text detection has become an active research topic in computer vision and document analysis, because of its great importance and significant challenge. However, vast majority of the existing methods detect text within local regions, typically through extracting character, word or line level candidates followed by candidate aggregation and false positive elimination, which potent...

Video text information plays an important role in semantic-based video analysis, indexing and retrieval. Video texts are closely related to the content of a video. Usually, the fundamental steps of text-based video analysis, browsing and retrieval consist of video text detection, localization, tracking, segmentation and recognition. Video sequences are commonly stored in compressed formats wher...

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...

  Bimorph piezoelectric cantilevered (BPC) actuators have recently received a great deal of attention in a variety of micro-electromechanical systems (MEMS) applications. Dynamic modeling of such actuators needs to be improved in order to enhance the control performance. Previous works have usually taken transv...

We present a new approach to text line aggregation that can work as both a line formation stage for a myriad of text segmentation methods (over all orientations) and as an extra level of filtering to remove false text candidates. The proposed method is centred on the processing of candidate text components based on local and global measures. We use orientation histograms to build an understandi...