CINECA IRIS Institutional Research Information System
IRIS è l’archivio della produzione scientifica della Fondazione Bruno Kessler.
EnglishIn this work a method to identify the text regions in a document, using texture based classification is presented. More precisely, homogeneous regions of a document are classified according to the two classes “text” and “non text”. The proposed method is based on Gabor filtering according to a scheme of multichannel filtering. Thanks to a preliminary spectral analysis is possible to perform the classification using only a couple of Gabor filters, tuned on the text interline frequency. The method relys basically on the measure of the ratio between the input signal, and the signal filtered with a suitable bank of Gabor filters, and does not require any a-priori knowledge on the text to classify
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte di FBK.
| Titolo: | Text Block Detection for Document Segmentation |
| Autori: | |
| Data di pubblicazione: | 1998 |
| Abstract: | In this work a method to identify the text regions in a document, using texture based classification is presented. More precisely, homogeneous regions of a document are classified according to the two classes “text” and “non text”. The proposed method is based on Gabor filtering according to a scheme of multichannel filtering. Thanks to a preliminary spectral analysis is possible to perform the classification using only a couple of Gabor filters, tuned on the text interline frequency. The method relys basically on the measure of the ratio between the input signal, and the signal filtered with a suitable bank of Gabor filters, and does not require any a-priori knowledge on the text to classify |
| Handle: | http://hdl.handle.net/11582/1533 |
| Appare nelle tipologie: | 5.12 Altro |
File in questo prodotto:
http://hdl.handle.net/11582/1533
Copyright © 2021