نتایج جستجو برای: document image classification
تعداد نتایج: 959870 فیلتر نتایج به سال:
Document segmentation is a method of rending the document into distinct regions. A document is an assortment of information and a standard mode of conveying information to others. Pursuance of data from documents involves ton of human effort, time intense and might severely prohibit the usage of data systems. So, automatic information pursuance from the document has become a big issue. It is be...
Technology has made significant strides in recent years, which accounts for how pervasive it is our daily lives. In order to address the fundamental issue with historical document preservation, namely their degeneration, this work suggests using new technology. The method built on pieces of artificial intelligence that can read writing from a page and recognize useful information, converting in...
The restoration of a blurry or noisy image is commonly performed with a MAP estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, reconstructs piecewise smooth images and typically removes textures that are important for visual realism. The three public datasets that were used in the ...
In this paper, we describe easily extractable features and an approach for document image retrieval and classification at spatial level. The approach is based on the content of the image and utilizing visual similarity, it provides high speed classification of noisy text document images without optical character recognition (OCR). Our method involves a bag-of-visual words (BoVW) model on the de...
In this paper, we propose a web document ranking method using topic modeling for effective information collection and classification. The proposed is applied to the technique avoid duplicated crawling when at high speed. Through technique, it feasible remove redundant documents, classify documents efficiently, confirm that crawler service running. enables rapid of many documents; user can searc...
remote sensing can be used as a powerful tool by using data from different sources and combine them for vegetation and land cover classification. pasture type classification provides key information for analysis of agricultural productivity, carbon accounting and biodiversity. the first data set that used in this study landsat tm (thematic mapper) optical image and the second envisat asar radar...
This paper describes methods for document image classification at the spatial layout level. The goal is to develop fast algorithms for initial document type classification without OCR, which can then be verified using more elaborate methods based on more detailed geometric and syntactic models. A novel feature set called interval encoding is introduced to capture elements of spatial layout. Thi...
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