We propose a method for detecting the duplicates in structured objects. The structure of objects and the missing value of elements in objects are very important for detecting the duplicates. Different elements in a structured object have different importance in detecting duplicates. The missing value of elements influence us in understanding objects. The more of missing value, the less we understand the objects , and the less its reference value. So, we adopt the different weighting scheme of the structure of the object and compute the confidence value for missing values. Then, we summarize the similarity value and the confidence value of the two objects to decide if they are duplicates or not. Finally, we experiment with the synthetic addressbook and census datasets to test if our proposed method can improve the recall and precision in duplicate detection of objects.