There is no definitive answer to this question as it depends on a number of factors, including the type of handwriting, the writing surface, and the desired recognition accuracy. However, some common algorithms used for handwriting recognition include hidden Markov models (HMMs), artificial neural networks (ANNs), and support vector machines (SVMs). each algorithm has its own strengths and weaknesses, so it is important to choose one that is well-suited to the specific application.