New Approach of Hand Writing Recognition Using Curvelet Transform and Invariant Statistical Features

The paper, as mentioned can be used in the forensic studies for identifying the authenticity of a person. The authors can use the work in age analysis of the person from his writing. Further the efficiency of the system is very high in comparison to the existing system. The work is to recognize handwriting of a person by using hidden markov model, support vector machine and their new approach HMM-SVM classifier using MATLAB. In previous HMM and SVM classifier are used to the handwriting recognition. In this paper, they used the combined features of HMM and SVM classifier using combination of Curvelet transform and Invariant transform. Performance of the system depends entirely on the feature vectors.

Provided by: International Journal of Computer Applications Topic: Security Date Added: Jan 2013 Format: PDF

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