Volker Märgner

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In this paper we are presenting a new database with handwritten Arabic town/village names. For each name the ground truth information, e.g. the sequence of character shapes, some style information, and the baseline are coded. 411 writers filled forms with about 26400 names containing more than 210000 characters. The database is described in detail. It is(More)
Arabic handwriting recognition. Since 2002 the freely available IfN/ENIT-Database is used by many groups all over the world to develop Arabic handwriting recognition systems. This database was the basis for the last years competitions for systems recognizing Arabic handwritten words. Whereas these competitions were used on a fixed lexicon with 973 Tunisian(More)
An offline recognition system for Arabic handwritten words is presented. The recognition system is based on a semi-continuous 1-dimensional HMM. From each binary word image normalization parameters were estimated. First height, length, and baseline skew are normalized, then features are collected using a sliding window approach. This paper presents these(More)
This paper describes the Online Arabic handwriting recognition competition held at ICDAR 2009. This first competition uses the ADAB-database with Arabic online handwritten words. This year, 3 groups with 7 systems are participating in the competition. The systems were tested on known data (sets 1 to 3) and on one test dataset which is unknown to all(More)
This paper presents the IfN’s Offline Handwritten Arabic Word Recognition System. The system uses Hidden Markov Models (HMM) for word recognition, and is based on character recognition without explicit segmentation. The first part of this paper deals with databases for word recognition systems, and in particular, the IFN/ENIT database. The second part gives(More)
In this paper, we report our comprehensive Arabic offline Handwritten Text database (KHATT) after completion of the collection of 1000 handwritten forms written by 1000 writers from different countries. It is composed of an image database containing images of the written text at 200, 300, and 600 dpi resolutions, a manually verified ground truth database(More)