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  • 标题:Decoding Compressed Image TIFF files of Candidates Response Sheets in Objective Type Entrance Tests
  • 本地全文:下载
  • 作者:Rajdeep Kaur ; Parneet Kaur ; Navneet Singh
  • 期刊名称:International Journal of Computing and Business Research
  • 电子版ISSN:2229-6166
  • 出版年度:2012
  • 出版社:International Journal of Computing and Business Research
  • 摘要:Evolution of Information Technology has brought about many changes in our daily life. As the applications of Information Technology vary from the simplest one like word processing to the highly sophisticated systems like satellite launching systems. This paper relates to a combination of Optical Mark Recognisition (OMR) & Data/Image Compression & Decompression techniques. The paper is to be used for decoding & evaluating candidates’ Responses in objective type entrance tests using OMR. The basic problem is of the storage space required for storing the image files of the candidates’ Responses for decoding & result evaluation. These image files, if are uncompressed, take a lot of storage space. Using compressed image files the required storage space can be reduced but it is at the cost of slight increase in decoding time. This approach saves about 75 percent of storage keeping in view the number of the candidates appearing in various entrance tests, use of the proposed method results in considerable savings in terms of storage space, required for storage of images TIFF has been used.
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