Young Suk Cho
Ellen Yi-Luen Do
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.
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Index Terms
- Curved-straight lines-analysis (CSLA) algorithm for handwritten digit recognition enhancement
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