Image processing apparatus, image processing method, and storage medium

An image processing method of dividing scanned image data including a plurality of page images obtained by scanning a plurality of documents en bloc for each page into image data of each document, the method comprising the steps of:

• generating text data by performing character recognition processing for the plurality of page images;
• sequentially obtaining a pair of page images in succession from the plurality of page images and then determining a document delimitation position based on text data of the two page images constituting the pair;
• and
• dividing the scanned image data at the determined delimitation position,
• wherein, in the determining step:
• a vector corresponding to tokens obtained by decomposing the text of each of the two page images constituting the pair is generated and input the vector to a neural network model;
• the delimitation position is determined by using a score output from the neural network model and representing the level of a possibility by a numerical value that the two page images constituting the pair belong to different documents, respectively;
• and,
• in a case when the number of documents of the plurality of documents is known in advance, a portion between the two page images constituting the pair is determined to be the delimitation position for a number of pairs in order from the pair whose output score is the highest, the number being the number of documents of the plurality of documents minus one.

A non-transitory computer readable storage medium storing a program for causing a computer to perform an image processing method of dividing scanned image data including a plurality of page images obtained by scanning a plurality of documents en bloc for each page into image data of each document, the method comprising the steps of:

• generating text data by performing character recognition processing for the plurality of page images;
• sequentially obtaining a pair of page images in succession from the plurality of page images and then determining a document delimitation position based on text data of the two page images constituting the pair;
• and
• dividing the scanned image data at the determined delimitation position,
• wherein, in the determining step:
• a vector corresponding to tokens obtained by decomposing the text of each of the two page images constituting the pair is generated and input the vector to a neural network model;
• the delimitation position is determined by using a score output from the neural network model and representing the level of a possibility by a numerical value that the two page images constituting the pair belong to different documents, respectively;
• and,
• in a case when the number of documents of the plurality of documents is known in advance, a portion between the two page images constituting the pair is determined to be the delimitation position for a number of pairs in order from the pair whose output score is the highest, the number being the number of documents of the plurality of documents minus one.