Automatic Identification of Textcoded Measurement Targets

A method is presented which makes a valuable contribution to automation in close range metrology. Successful identification of textcoded measurement targets has three essential characteristics: (1) large and easily expandable code depth; (2) robustness with respect to radiometric and geometric influences; and (3) rejection capability in case of low identification quality. The proposed method of text recognition of target labels is based on experience which has been gradually accumulated in the context of automated document analysis at the DaimlerChrysler Research Center.