The invention discloses a method for identifying handwritten Chinese characters based on a combination classifier, which has the advantages that after hand-inputted Chinese characters collected undergo treatments of smoothed filter, noise removal, resampling and data linear normalization, the characters undergo the peeling-off points removal treatment, which removes points of stroke segments which deviate from hand-inputted Chinese characters, which exceed the set threshold value, thereby facilitating the extraction of turning points of strokes and the correct input of stroke segments; setting up basic stroke segment types and corresponding parameter characteristics is to define separating points for separation according to time intervals of sampling points of hand-inputted Chinese characters while sampling; when the directional deviation of a stroke segment is in the range of the set angle threshold, the stroke segment is automatically corrected; a separating connection relation is built, and as for stroke segments which are connected in fact, but separated due to writing habits, the stroke segments are treated as connected stroke segments after being identified, thereby better differentiating a plurality of similar Chinese characters; by calculating Freeman chain codes, hand-inputted Chinese characters can be conveniently identified by using the whole character identification classifier.