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Document image processing (DIP) The management of documents throughout their life cycle from creation to death. It includes the capture of documents as digital images, typically by means of document scanners, and the storage, indexing, retrieval, processing, transmission, and printing of these documents.

Document imaging is the process of taking a physical document and converting it into a digital file and eliminating the need for a paper copy.The digital copies are then indexed with metadata into the system and organized by the index values. Metadata is information about the document.

Document imaging encompasses all processes that convert paper documents into an electronic format. The right document imaging software also does much more than that, including: Provides simultaneous access to the same document by multiple users.Automatically organizes captured documents and information.

Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.

Image analysis involves processing an image into fundamental components to extract meaningful information. Image analysis can include tasks such as finding shapes, detecting edges, removing noise, counting objects, and calculating statistics for texture analysis or image quality.

Document image processing (DIP) promises to tackle the high handling and storage costs, and large data volumes associated with paper, and to facilitate the integration of computer-stored information in and between organizations.

There are basically 9 steps that can be performed while processing an image.