NDLI: Efficient Computation of Mahalanobis Distance in Financial Hand-Written Chinese Character Recognition

Content Provider	IEEE Xplore Digital Library
Author	Guang Chen Hong-Gang Zhang Jun Guo
Copyright Year	2007
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing (Guang Chen; Hong-Gang Zhang; Jun Guo)
Abstract	The recognition of hand-written Chinese characters using Mahalanobis distance is extensively utilized in bank cheque processing applications. The Mahalanobis distance, defined by the innovation and its covariance, is compared among several target character classes, and the computation is a time-consuming operation. This paper presents an efficient computation for this process. The method described here can be summarized as an incremental, non-decreasing computation for the Mahalanobis distance; if the incrementally computed value exceeds the threshold then the computation is stopped. The elements of covariance and innovation are only computed if they are used, and progressivity is the major advantage of the method. This method is based upon the square-root-free Cholesky's factorization. Experiment shows the method proposed here is effective in financial hand-written character recognition.
Starting Page	2198
Ending Page	2201
File Size	465903
Page Count	4
File Format	PDF
ISBN	9781424409723
DOI	10.1109/ICMLC.2007.4370510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Machine learning Cybernetics Telecommunication computing Technological innovation Feature extraction Euclidean distance Application software Covariance matrix Seals Bank cheque processing Mahalanobis distance Pattern recognition Financial Chinese character recognition
Content Type	Text
Resource Type	Article

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