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Document Analysis using Similarity Measures : A Case Study on Text Retrieval System

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  • Suresha M

Abstract

A document is an information container that contains information either in printed format or in handwritten format and document is a medium for transferring knowledge. Human vision is the most accurate language identification system in the world. Within a few seconds of looking at a document, one can determine the language even without deskewing and segmenting the image, while computer vision is not able to match human capability. Today there is an increasing need for automatic language identification with the support of computers. As the world moves from paper to paperless office, more and more communication and storage of documents is performed digitally which facilitates quicker additions, searches and modifications and increases the life of such records.

Suggested Citation

  • Suresha M, 2017. "Document Analysis using Similarity Measures : A Case Study on Text Retrieval System," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 125-130, December.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit172638
    Note: Article URL: https://ijsrcseit.com/CSEIT172638
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