Recognition of handwritten alphanumeric characters using Projection Histogram and Support Vector Machine
Rey Mark John SA. Bautista, Vishnu Joshua L. Navata, Aldrich H. Ng, Ma. Timothy S. Santos, Justine D. Albao, Edison A. Roxas · 2015
The study investigates the accuracy and precision of the proposed system by cross examining the values solved using the proposed system with the values solved manually. Since the feature extractor and classifier directly influences the accuracy and precision of Optical Character Recognition, the study considered choosing the top of the line combination of Feature Extractor-Classifier combination for handwritten characters which is the Projection Histogram and Support Vector Machine (SVM) combination. For this study, the accuracy of this system is presented in terms of character recognition performance where alphanumeric characters (62 characters in total) are to be tested.