Curved-straight lines-analysis (CSLA) algorithm for handwritten digit recognition enhancement
Young Suk Cho, Hyungsin Kim, Ellen Yi–Luen · 2010
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.