This paper describes the handwriting recognition competition held at ICDAR 2009. This competition is based on the RIMES-database, with French written text documents. These document are classified in three different categories, complete text pages, words, and isolated characters. This year 10 systems were submitted for the handwritten recognition competition on snippets of French words. The systems were evaluated in three subtask depending of the sizes of the used dictionary. A comparison between different classification and recognition systems show interesting results. A short description of the participating groups, their systems, and the results achieved are presented.
This paper presents the results of the second test phase of the RIMES 1 evaluation campaign. The latter is the first large-scale evaluation campaign intended to all the key players of the handwritten recognition and document analysis communities. It proposes various tasks around recognition and indexing of handwritten letters such as those sent by postal mail or fax by individuals to companies or administrations. In this second evaluation test, automatic systems have been evaluated on three themes: layout analysis, handwriting recognition and writer identification. The databases used are part of the RIMES database of 5605 real mails completely annotated as well as secondary databases of isolated characters and handwritten words (250,000 snippets). The paper reports on protocols and gives the results obtained in the campaign.
This paper deals with the near field source localization problem using the array output second order statistics (SOS). The range and angle parameters are estimated through a weighted linear pre diction (LP) algorithm applied to a properly chosen array output correlation sequence. Detailed perfonnance analysis and deriva tion of the optimal weightings are provided. Simulation results are finally presented to validate the theoretical analysis results and to assess the perfonnance of the proposed method 0-7803-7402-9/021$ 17 .00
This paper describes the French handwriting recognition competition held at ICDAR 2011. This competition is based on the RIMES-database composed of French written documents corresponding to letters sent by individuals to companies or administrations. Two tasks have been proposed this year : the first one consists in recognizing isolated snippets of words with the help of a given dictionary; the second one consists in recognizing blocks of words segmented into lines. This year 9 systems were submitted for the different competition subtasks. A comparison between different classification and recognition systems show interesting results.A short description of the participating groups, their systems, and the results achieved are presented.
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