Binarizing and filtering historical documents with back-to-front interference
Proceedings of the 2006 ACM symposium on Applied computing
Optical Digit Recognition for Images of Handwritten Historical Documents
SBRN '06 Proceedings of the Ninth Brazilian Symposium on Neural Networks
Image thresholding of historical documents using entropy and ROC curves
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Integrated Computer-Aided Engineering
A new thresholding algorithm for document images based on the perception of objects by distance
Integrated Computer-Aided Engineering
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It is presented in this paper an algorithm for thresholding images of historical documents. The main objective is to generate high quality monochromatic images in order to make them easily accessible thru Internet and achieve high recognition rates by Optical Character Recognition algorithms. Our new algorithm is based on the classical entropy concept and a variation defined by the Tsallis Entropy and it proved to be more efficient than classical thresholding algorithms. The images generated are analyzed using precision, recall, accuracy and specificity.