 Large organizations continue to process enormous volumes of paper-based information as well as large volumes of relatively unorganized electronic documents and files;  The cost of processing a paper invoice is ten times that of an invoice handled electronically , and the cost of classification and organization of electronic files runs from $.05 cent to $1.00 per page and even more for extrac...

This paper describes features and methods for document image comparison and classification at the spatial layout level. The methods are useful for visual similarity based document retrieval as well as fast algorithms for initial document type classification without OCR. A novel feature set called interval encoding is introduced to capture elements of spatial layout. This feature set encodes reg...

In the recent past, complex deep neural networks have received huge interest in various document understanding tasks such as image classification and retrieval. As many types a distinct visual style, learning only features with CNNs to classify images has encountered problem of low inter-class discrimination, high intra-class structural variations between its categories. parallel, text-level jo...

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

Information extraction, retrieval, and text categorization are only a few of the significant research fields covered by "bio medical classification." This study examines many techniques utilised in practise, as well their strengths weaknesses, order to improve knowledge various information extraction opportunities field data mining. We compiled dataset with focus on three categories: "Thyroid C...