A segmentation algorithm is presented within a text recognition system. The output of an OCR system and the contextual analysis based on the dictionary method are used jointly to segment a line of text. A distance definition is introduced between a pattern representing a bitmap with the input text line and a string representing an entry of the dictionary. The algorithm is used in a system that aims at recognizing a book by reading the scripts on its cover and by comparing the recognized text with a stored database. Preliminary experiments are presented for both the line recognition and book recognition task.



Titolo: Context Driven Text Segmentation and Recognition
Autori: 
Messelodi, Stefano
Modena, Carla Maria
Data di pubblicazione: 1996
Rivista: 
PATTERN RECOGNITION LETTERS  
Abstract: A segmentation algorithm is presented within a text recognition system. The output of an OCR system and the contextual analysis based on the dictionary method are used jointly to segment a line of text. A distance definition is introduced between a pattern representing a bitmap with the input text line and a string representing an entry of the dictionary. The algorithm is used in a system that aims at recognizing a book by reading the scripts on its cover and by comparing the recognized text with a stored database. Preliminary experiments are presented for both the line recognition and book recognition task.
Handle: http://hdl.handle.net/11582/988
Appare nelle tipologie:1.1 Articolo in rivista

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