Title :
Using entropy for drawing reliable templates
Author :
De Stefano, C. ; Tortorella, F. ; Vento, M.
Author_Institution :
Dipartimento di Inf. e Sistemistica, Univ. degli Studi di Napoli, Italy
Abstract :
The method presented allows the drawing of templates that are reliable in locating distorted occurrences of the symbol to recognize and robust against the noise and the false alarms present on the background. A learning by showing technique is used to draw the template by considering samples of the symbol coming from a training set. The design of the template involves the evaluation of the reliablity of each pixel, obtained by estimating the entropy which characterizes the pixel. To be considered reliable, a pixel must show an entropy less than a threshold Ho set so as to maximize a match performance figure: the obtained template is constituted only by the pixels meeting this requirement
Keywords :
document handling; document image processing; image matching; learning (artificial intelligence); distorted occurrences; entropy; false alarms; learning by showing technique; match performance figure; pixel; reliable templates; template matching; training set; Computational efficiency; Entropy; Filtering; Image recognition; Matched filters; Noise robustness; Noise shaping; Pixel; Shape; Text analysis;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395718
