Abstract: A method and a device for verifying a recognition result in character recognition are provided. The device constructs a hidden Markov chain for a character string to be recognized, using recognition result output of a character recognition process. The recognition result includes candidate characters of each character in the character string. The device solves for an optimal path forming a candidate character string according to the hidden Markov chain and a pre-trained state transition matrix. The device recognizes non-Chinese characters in the character string according to state transition probabilities in the optimal path. The device verifies the recognition result according to the non-Chinese characters. The device feeds back a verification result to the character recognition process, wherein the character recognition process applied to the character string to be recognized is modified by the verification result.

Abstract: A text image processing method and a text image processing apparatus are provided. In some embodiments, a text image processing method includes: preprocessing a text image to obtain a binary image, where the binary image includes multiple connected regions; acquiring a convex hull corresponding to each of the connected regions with a convex hull algorithm; acquiring a character region circumscribing the convex hull; performing character segmentation on the acquired character region to obtain multiple character blocks; and merging the character blocks based on heights of the character blocks to obtain word blocks of the text image.

Abstract: A method and a device for verifying a recognition result in character recognition are provided. The device constructs a hidden Markov chain for a character string to be recognized, using recognition result output of a character recognition process. The recognition result includes candidate characters of each character in the character string. The device solves for an optimal path forming a candidate character string according to the hidden Markov chain and a pre-trained state transition matrix. The device recognizes non-Chinese characters in the character string according to state transition probabilities in the optimal path. The device verifies the recognition result according to the non-Chinese characters. The device feeds back a verification result to the character recognition process, wherein the character recognition process applied to the character string to be recognized is modified by the verification result.

Abstract: A text image processing method and a text image processing apparatus are provided. In some embodiments, a text image processing method includes: preprocessing a text image to obtain a binary image, where the binary image includes multiple connected regions; acquiring a convex hull corresponding to each of the connected regions with a convex hull algorithm; acquiring a character region circumscribing the convex hull; performing character segmentation on the acquired character region to obtain multiple character blocks; and merging the character blocks based on heights of the character blocks to obtain word blocks of the text image.