Title :
Image Feature Based Method for Mail Retrieval
Author :
Du, Yuxiao ; Lu, Yue
Author_Institution :
Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
Abstract :
A mail retrieval method based on image feature is an innovative approach by which the postal department can realize the query of mail information. The paper chooses envelope images with handwritten address characters as retrieval object. Through a series of researches on a large number of image features, we select partition-block image feature, projection histogram feature and SIFT feature to construct feature vector. In order to accelerate processing speed, we optimize the retrieval procedure by matching feature component in multiple levels. The experimental results and comparative analysis have demonstrated that the precision of the proposed retrieval system reaches at least 99%, which proves the practicability and robustness of the method.
Keywords :
feature extraction; handwriting recognition; image retrieval; postal services; SIFT feature; handwritten address characters; image feature based method; mail information query; mail retrieval; partition block image feature; postal department; projection histogram feature; Acceleration; Delta modulation; Electronic mail; Histograms; Image retrieval; Postal services; Text analysis;
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
DOI :
10.1109/CCPR.2010.5659448