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.
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Titolo: | Context Driven Text Segmentation and Recognition |
Autori: | |
Data di pubblicazione: | 1996 |
Rivista: | |
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 |