Offline cursive script word recognition ? a survey
نویسندگان
چکیده
منابع مشابه
Word Based Recognition of Cursive Script
We describe a system for on line or off line recognition of cursive script. Our earlier work established that cursive script can be synthesised out of individual characters by using polynomial merging functions which satisfy boundary conditions of continuity of the displacement functions x(t) and y(t) for each character and their first and second derivatives. We showed that even individual char...
متن کاملPreprocessing techniques for cursive script word recognition
-This paper deals with techniques for improving the recognition rate of a cursive script word recognition system. Closed-loop preprocessing techniques have been designed and implemented to achieve this objective on a limited vocabulary but with no restrictions on handwriting style. This paper discusses the details of such a system and its performance on samples from several authors. Results obt...
متن کاملOff-Line Cursive Script Word Recognition
We review the eld of oo-line cursive word recognition. We mainly deal with the various methods that were proposed to realize the core of recognition in a word recognition system. These methods are discussed in view of the two most important properties of such a system: the size and nature of the lexicon involved, and whether or not a segmentation stage is present. We classify the eld to three c...
متن کاملOffline Handwritten English Script Recognition: A Survey
OFFLINE handwriting recognition is the task of determining what letters or words are present in a digital image of handwritten text. It is of significant benefit to man-machine communication and can assist in the automatic processing of handwritten documents. It is a subtask of Optical Character Recognition (OCR), whose domain can be machine-print or handwriting but is more commonly machine-pri...
متن کاملA System for Offline Cursive Handwritten Word Recognition
Cursive handwriting recognition is a difficult problem because of large variations in handwritten words as well as overlaps and interconnections between neighboring characters. In this thesis we introduce a new approach to this problem, called Hidden Markov Model with Multiple Observation Sequences (HMMMOS). A preprocessor extracts each word from a scanned-in document image and divides it into ...
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ژورنال
عنوان ژورنال: International Journal on Document Analysis and Recognition
سال: 1999
ISSN: 1433-2833,1433-2825
DOI: 10.1007/s100320050040