@conference {253, title = {Label Recognition in Herbarium Specimens by using Database-Queries}, booktitle = {ICDM 2011 IEEE International Conference on Data Mining}, year = {2011}, month = {09/2011}, publisher = {IEEE}, organization = {IEEE}, address = {Vancouver, Canada}, abstract = {For hundreds of years plant specimens are collected in herbariums for scientific purposes. These plants are mounted on specimen sheets and labeled with the essential data such as the name of the collector, the date and the place it was found. To make them available for a wider public the specimen sheets get digitized for online use. The purpose of our project in cooperation with the Botanical Garden in Berlin (Germany) is the development of a software-system for the analysis of these high resolution images. There are different approaches like template matching or SURF for detecting stable objects like color-charts, rulers, barcodes or even labels (fig. 1) on specimens. This paper describes a new method for the automatic scale- and rotation-invariant recognition of prior defined label-types by using OCR-engine generated texts contained in a database.}, keywords = {database, label recognition, OCR-texts, rotation-invariant, scale-invariant, SURF, template matching}, author = {M Gehrke and KH Steinke and R Dzido} }