Automatic prediction of age, gender, and nationality in offline handwriting

Author:

Al Maadeed Somaya,Hassaine Abdelaali

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Reference19 articles.

1. Bandi K, Srihari SN: Writer demographic identification using bagging and boosting. In Proceedings of the International Graphonomics Society Conference (IGS). Salerno, Italy; 2005:133-137. 26–29 June

2. Srihari S, Cha SH, Arora H, Lee S: Individuality of handwriting: a validation study. In 2001 Proceedings of the Sixth International Conference on Document Analysis and Recognition. Seattle; 2001:106-109. 10–13 September

3. Liwicki M, Schlapbach A, Loretan P, Bunke H: Automatic detection of gender and handedness from on-line handwriting. In Proceedings of the 13th Conference of the International Graphonomics Society. Melbourne; 2007:179-183. 11–14 Novembers

4. Liwicki M, Schlapbach A, Bunke H: Automatic gender detection using on-line and off-line information. Pattern. Anal. Appl. 2011, 14: 87-92. 10.1007/s10044-010-0178-6

5. Otsu N: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 1979, 9(1):62-66.

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