Recent advances in document image analysis (DIA) have been primarily driven by the application of neural networks. Ideally, research outcomes could be easily deployed production and extended for further investigation. However, various factors like loosely organized codebases sophisticated model configurations complicate easy reuse important innovations a wide audience. Though there on-going eff...

With the introduction of a Component Content Management System (CCMS), companies combine expectation creating efficient and effective customer-specific documentation in face increasing product variance due to individual customer requirements. In addition, should meet both quality requirements cost pressure. order these expectations utilize all possibilities system, fundamental considerations mu...

Modern technology has made it possible to produce, process, transmit and store digital images efficiently. Consequently, the amount of visual information is increasing at an accelerating rate in many diverse application areas. To fully exploit this new content-based image retrieval techniques are required. Document image retrieval systems can be utilized in many organizations which are using do...

In this paper we present a novel technique for data hiding in binary document images. We use the concept of entropy in order to identify document specific least distortive areas throughout the binary document image. The document image is treated as any other image and the proposed method utilizes the standard document characteristics for the embedding process. Proposed method minimizes perceptu...

In this paper we present a novel technique for data hiding in binary document images. We use the concept of entropy in order to identify document specific least distortive areas throughout the binary document image. The document image is treated as any other image and the proposed method utilizes the standard document characteristics for the embedding process. Proposed method minimizes perceptu...

Abstract Thresholding of a given image into binary image is a necessary step for most image analysis and recognition techniques. In document recognition application, success of OCR mostly depends on the quality of the thresholded image. Non-uniform illumination, low contrast and complex background make it challenging in this application. In this paper, selection of optimal parameters for Neural...

Image-based document management systems have become increasingly popular for handling documents that contain both text and graphical elements. When such systems are used to store confidential information, document security is a key concern. Conventional encryption techniques used for images fail to provide the level of flexibility required by such document management systems. Newer image encryp...

The paper introduces a descriptive data mining method to discover knowledge for the task of automatic categorization in document image analysis. We argue that a document image is a multi-modal unit of analysis whose semantics is deduced from a combination of textual content, layout structure and logical structure. So, the method considers simultaneously different modalities of document represen...

Metric rectification method is to restore an image from a single camera-captured document image. This method construct an isometric image mesh technique by exploiting the geometry of page surface and camera. It uses a general cylindrical surface (GCS) to model the curved page shape. It introduce a paraperspective projection to approximate the nonlinear perspective projection. A set of close-for...