![]() |
|
|
|
|
|
[Home][9. Duplicated Documents]
|
|
|
9. Finding Duplicated DocumentsClick menu item �Example/Special Example/Document Duplication�; then click �Batch/Run�, this chapter is done. Now, we will walk through the Document duplication example. Recent development in scanner technology has made it very easy to convert paper documents into digital documents. A $1000 scanner, for example Fujitsu 4120c, can scan and save 50 pages in a single click. The scanner creates image names via auto-numbers you have specified. More expensive scanners can scan and save 1,000 pages in a single click. This chapter attempts to solve a particular problem: to retrieve duplicated Document images. Assume you have a million pages of documents already converted into digital form, and you want to retrieve documents that meet some specified constraints. A typical Document retrieval system should have several components: 1. Text; 2. Image; 3. 1-D barcode; and 4. 2-D barcode. Each component addresses a particular area of retrieval and their functions generally do not overlap. A complete solution should use all of the above options. This software deals with the image matching only. Chapter contents include:9.1 Why Image Matching?9.2 Data9.3 Parameters9.4 Signature9.5 Training9.6 Matching9.7 Analysis
[Home][About][1. Introduction][2. Overview][3. GUI][4. Image Signatures][5. Unsupervised Filters][6. Results & Analysis][7. BioFilters][8. NeuralFilters][9. Duplicated Documents][10. Face Recognition][11. Auto Part Recognition][12. Dynamic Library][13. NeuralNet Filter][14. Segment Variation][15. TV Advertisements][16. Counting & Tracking][17. Image PreProcessing][18. Image Processing][19. Batch Job][20. Parameters][21. Input Option][22. Application Developers][23. Reference Manual][24. Support Services][25. Readme.txt]
Copyright (c) 1998 - 2006 Attrasoft, Inc. All rights reserved. |
|