Curved-straight lines-analysis (CSLA) algorithm for handwritten digit recognition enhancement

Authors:
Young Suk Cho;Hyungsin Kim;Ellen Yi-Luen Do
Affiliations:
Georgia Institute of Technology, Georgia, Atlanta;Georgia Institute of Technology, Georgia, Atlanta;Georgia Institute of Technology, Georgia, Atlanta
Venue:
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Year:
2010

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Abstract

In this paper, we propose a new recognition algorithm for handwritten digit recognition. This algorithm is designed to enhance the recognition accuracy of current Microsoft SDK recognizer. The algorithm recognizes the unique signature of each number by comparing curved and straight lines, and writing sequences of the stroke. Through the trial experiments, we achieved 97.67% of positive recognition accuracy.