2010 - First International Workshop on Frontiers in Arabic Handwriting Recognition : [7]


Arabic script is of substantial influence for hundreds of millions of people worldwide. Numerous applications in different areas of automated document processing require robust recognition techniques for the analysis of Arabic handwriting. Substantial challenges lie in the high variance in character appearance, the highly idiosyncratic omittance of vowels, common ambiguities in writing, or the omnipresence of touching characters. For robust Arabic handwriting recognition, massive research efforts are demanded. In order to provide a place to meet and discuss current issues related to Arabic handwriting recognition, FAHR 2010 - the 1st International Workshop on Frontiers in Arabic Handwriting Recognition - will be held in conjunction with ICPR 2010. It aims at bringing together researchers -- both from academia and industry -- as well as practitioners in the field of Arabic handwriting recognition. Given its unique location within the city of Istanbul, Turkey, at the border between the Arabian and the western world, researchers working in the field are invited to participate in FAHR 2010.

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 7 of 7
Issue DateTitleAuthor(s)
2011-01-12Subword-based Stochastic Segment Modeling for Offline Arabic Handwriting RecognitionCao, Huaigu; Manohar, Vasant; Natarajan, Prem; Prasad, Rohit; Subramanian, Krishna
2011-01-12Arabic Handwritten Alphanumeric Character Recognition using Fuzzy Attributed Turning FunctionsMahmoud, Sabri; Parvez, Mohammad Tanvir
2011-01-12Arabic Handwriting SynthesisAl-Muhtaseb, Husni; Elarian, Yousef; Ghouti, Lahouari
2011-01-12A Lexicon of Connected Components for Arabic Optical Text RecognitionElarian, Yousef; Idris, Fayez
2011-01-12Writer Identification of Arabic Handwritten DigitsAwaida, Sameh; Mahmoud, Sabri
2011-01-12A new System for offline Printed Arabic Recognition for Large Vocabulary : SPARLVDhouib, Mariem Miledi; Kanoun, Slim
2011-01-12Towards Feature Learning for HMM-based Offline Handwriting RecognitionFink, Gernot A.; Hammerla, Nils Y.; Plötz, Thomas; Vajda, Szilárd
Collection's Items (Sorted by Submit Date in Descending order): 1 to 7 of 7