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Aiming at the weakness of CNN that is not sensitive to the changes of relative position and angle, a method of digital handwritten recognition based on deep capsule network is researched. The capsule network represents multiple attributes of an entity through a group of capsules composed of neurons, which effectively preserves the information about the position and posture of the entity. Dynamic routing algorithm makes the information interaction between capsules more clearly, and can determinedoi:10.21307/ijanmc-2020-031 fatcat:4o6ftgcsffhfnip3xswraktdve