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AssigneeAccusoft Corporation
InventorJohn Reynolds
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Methods and apparatus for training neural networks to identify information table partitions are described. Also described are methods and apparatus of using a trained neural network to process an image and provide partition information in an easy to use format. The format of the partition information is one which is simple to interpret, easy to communicate and uses values which facilitate successful training and recognition of partitions in tables whether the partitions be implicitly defined by data arrangement or explicitly define using lines. An image is treated as including a predetermined number of row and column portions. The neural network generates for each predetermined portion a partition present indicator value and a partition location value. The partition present value in some embodiments is a value in the range of 0 to 1 and the partition location value in some embodiments is a value in the range of −1 to +1.
A method of detecting partition information, the method comprising:
A system for processing an input image, the system comprising:
A computer readable medium comprising processor executable instructions which when executed by a processor of a form processing device causes the processor to control the form processing device to implement the steps of:
Dependencies are inferred from the claim text.