This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition
January 1987 (vol. 9 no. 1)
pp. 149-153
Fumitaka Kimura, Department of Electronics, Mie University, Kamihama-cho 1515, Tsu 514, Japan.
Kenji Takashina, Department of Electronics, Mie University, Kamihama-cho 1515, Tsu 514, Japan.
Shinji Tsuruoka, Department of Electronics, Mie University, Kamihama-cho 1515, Tsu 514, Japan.
Yasuji Miyake, Department of Electronics, Mie University, Kamihama-cho 1515, Tsu 514, Japan.
Issues in the quadratic discriminant functions (QDF) are discussed and two types of modified quadratic disriminant functions (MQDF1, MQDF2) which are less sensitive to the estimation error of the covariance matrices are proposed. The MQDF1 is a function which employs a kind of a (pseudo) Bayesian estimate of the covariance matrix instead of the maximum likelihood estimate ordinarily used in the QDF. The MQDF2 is a variation of the MQDF1 to save the required computation time and storage. Two discriminant functions were applied to Chinese character recognition to evaluate their effectiveness, and remarkable improvement was observed in their performance.
Citation:
Fumitaka Kimura, Kenji Takashina, Shinji Tsuruoka, Yasuji Miyake, "Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 1, pp. 149-153, Jan. 1987, doi:10.1109/TPAMI.1987.4767881
Usage of this product signifies your acceptance of the Terms of Use.