Automatic language identification in image-based documents

A cloud infrastructure node configured to identify a language of text in an image-based document, the cloud infrastructure node comprising:

• a processor;
• and
• a non-transitory computer-readable medium including instructions that, when executed by the processor, cause the processor to:
• receive an image-based document comprised of a plurality of pixels;
• detect one or more text lines formed a set of the plurality of pixels in the image-based document,
• identify a set of bounding boxes within the image-based document, each bounding box in the set of bounding boxes containing at least one of the one or more text lines, each bounding box specifying a position of each of the one or more text lines in the image-based document
• process pixels in each of the set of boundingboxesto identify a set of text characters;
• determine a first primary script classification, from a plurality of primary script classifications, for the set of text characters in each of the set of b ounding, each of the plurality of primary script classifications corresponding to one or more languages;
• and
• responsive to determining that the first primary script classification corresponds to more than one language:
• process the pixels in each of the set of bounding boxes to generate a text string corresponding to each of the set of bounding boxes;
• process each generated text string to determine a language that corresponds to the first primary script classification;
• and
• store an output of the determined language for the image-based document.

A non-transitory computer-readable medium including stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a process, the process comprising:

• receiving an image-based document comprised of a plurality of pixels;
• detecting one or more text lines formed a set of the plurality of pixels in the image-based document,
• identifying a set of bounding boxes within the image-based document, each bounding box in the set of bounding boxes containing at least one of the one or more text lines, each bounding box specifying a position of each of the one or more text lines in the image-based document
• processing pixels in each of the set of bounding boxes to identify a set of text characters;
• determining a first primary script classification, from a plurality of primary script classifications, for the set of text characters in each of the set of bounding, each of the plurality of primary script classifications corresponding to one or more languages;
• and
• responsive to determining that the first primary script classification corresponds to more than one language:
• processing the pixels in each of the set of bounding boxes to generate a text string corresponding to each of the set of bounding boxes;
• processing each generated text string to determine a language that corresponds to the first primary script classification;
• and
• storing an output of the determined language for the image-based document.