In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification. A document image is enhanced in the preprocessing by removing noise, binarization, and detecting and correcting image skew. In document segmentation, an algorith...

The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...

Keywords can be used as attributes for mining rules or a basis measuring the similarity of new (unclassified) documents with existing (classified) ones. The focus is on problem extracting keywords from document collection in order to use them classification. Document classification hot topic machine learning. Typical approaches extract “features,” generally words, document, and feature vectors ...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Document image classification is an important step in document image analysis. Based on classification results we can tackle other tasks such as indexation, understanding or navigation in document collections. Using a document representation and an unsupervized classification method, we can group documents that from the user point of view constitute valid clusters. The semantic gap between a do...

We propose in this paper a document image classification method. In contrary to most of existing systems, the proposed approach allow locating the document and recognizing its type simultaneously. First, a knowledge base of document models is created from reference images. Training images are not indispensable and though only one reference image is enough to create a document model. Then, key-p...