One of the most significant parts integrating computer technologies into intelligent transportation systems (ITS) is vehicle license plate recognition (VLPR). In cases, however, to recognize a successfully, location be determined first. Vehicle License Plate Recognition are used by law enforcement agencies, traffic management control and various government non-government agencies. VLPR in comme...

0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.10.004 ⇑ Corresponding author. E-mail addresses: [email protected] osaka-u.ac.jp (Y. Mae), [email protected] (H. (T. Arai). In this paper, we propose multi-view object detection methodology by using specific extended class of haar-like filters, which apparently detects the object with high accu...

Driver distraction and safety concerns have been identified for new highway logo sign configurations. This study assessed driver perception of logo signs and distraction under nine-panel, overflow-combination, or standard six-panel formats. A nine-panel sign has nine business panels within a single sign; a six-panel sign has six panels within a sign; an overflow-combination consists of a standa...

Research in the Computer Vision Laboratory at the University of Maryland covers a broad range of topics and applications related to visual processing. This paper highlights some recent and ongoing research in the area of Document Understanding. The topics addressed include page segmentation, page decomposition, stroke interpretation , logo recognition, forms processing and the generation of syn...

Logo extraction plays an important role in logo based document image retrieval. Here we present a method for automatic logo extraction from the document images that works for scanned documents containing a logo. Proposed method uses morphological operations for logo extraction. It supports extraction of a logo with its gray level and color information

In this thesis, we present a general bidimensional markovian approach in theframework of handwritten document analysis and recognition. This approachcalled AMBRES (Bidimensional Markovian Approach for image Recognition andSegmentation) is based on Markov random elds, 2D dynamic programming anda bidimensional analysis of images.AMBRES has been successfully applied to a wi...