| Title | Object Recognition in Herbarium Specimens |
| Publication Type | Conference Paper |
| Year of Publication | 2011 |
| Authors | Steinke, KH, Gehrke M., and Dzido R. |
| Conference Name | ICDM 2011 IEEE International Conference on Data Mining |
| Date Published | 09/2011 |
| Publisher | IEEE |
| Conference Location | Vancouver, Canada |
| Other Numbers | ISSN 1864-9734 |
| Keywords | best template, connected component analysis, hue space, object recognition, SURF, template matching |
| Abstract | About 3.5 million dried plants on paper sheets are deposited in the Botanical Museum Berlin in Germany. The aim of our project is the image analysis of scanned high resolution images. There are many different objects contained in a herbarium sheet like ruler, barcode, stamps, color-chart, labels with printed title, red type designator, envelopes, hand-written and printed annotations and the plant. Some objects are very stable like the ruler, others are extremely variable like handwriting or plant. So each class of objects requires a special detection method. Algorithms like template matching or SURF can be applied to some of the stable objects. For variable objects like handwriting detection methods are already developed by the authors and are described in other papers. |
| Refereed Designation | Refereed |
Comments
Grouping Like Objects
Grouping Like Objects Automatically!
In this paper the authors write, "The main aspect of this paper is the comparison of methods for localizing stable objects." Imagine, after specimen imaging, being able to use an algorithm to group all the images with a red label indicating the specimen is a type. Or, what if it was possible to group all the images in a collection that have been stamped "Imaged 2002" (or not)? How about using an algorithm to "remove the plant" from the image so that OCR sees only the text on the sheet? Check out the progress made by Steinke et al in the paper to learn more about what it is possible to do using algorithms on OCR output - to find particular objects on a herbarium sheet.