Precise book page boundary detection using deep machine learning model and image processing algorithms

A non-transitory computer-readable medium storing executable instructions which, when executed by a processing device, cause the processing device to perform operations comprising:

• obtaining a digital image captured by a digital camera;
• wherein the digital image comprises a spread of a physical book;
• inputting the digital image to a convolutional neural segmentation network to obtain a plurality of outputs;
• wherein the plurality of outputs comprise first output and second output, the first output for a first boundary of a left page of the spread, the second output for a second boundary of a right page of the spread;
• determining a first thin pixel mask for the first boundary based on the first output;
• determining a second thin pixel mask for the second boundary based on the second output;
• determining, based on the first thin pixel mask and the second thin pixel mask, a first quadrilateral for the first boundary and a second quadrilateral for the second boundary;
• and
• displaying at least one of the first quadrilateral for the first boundary or the second quadrilateral for the second boundary in a graphical user interface.

A system comprising:

• a set of one or more memory components;
• and
• a set of one or more processing devices coupled to the set of one or more memory components, the set of one or more processing devices to perform a set of operations comprising:
• receiving a digital image;
• obtaining, based on inputting the digital image to a convolutional neural segmentation network, a plurality of outputs comprising first output and second output, the first output for a first boundary of a left page of a two-page spread of a physical book, the second output for a second boundary of a right page of the two-page spread;
• determining a first thin pixel mask for the first boundary based on the first output;
• determining a second thin pixel mask for the second boundary based on the second output;
• determining a first quadrilateral for the first boundary based on the first thin pixel mask;
• determining a second quadrilateral for the second boundary based on the second thin pixel mask;
• and
• presenting the first quadrilateral and the second quadrilateral for display in a graphical user interface.