Abstract:
This disclosure provides methods and systems to classify handwritten words associated with an answer to a question. According to an exemplary embodiment of this disclosure, a reference dictionary is constructed as a function of a known answer to the question, the reference dictionary including handwritten characters which are used for comparison purposes to determine if the handwritten answer if correct or not.
Abstract:
A system and method for determining handwritten character segmentation shape parameters for a user in automated handwriting recognition by prompting the user for a training sample; obtaining an image that includes handwritten text that corresponds to the training sample; sweeping the image with shapes corresponding to parameters to determine coordinates of the shapes in the image; segmenting the image into segmented characters based on the coordinates of the shapes; determining character segmentation accuracies of the parameters; and storing an association between the user and the parameters. The system and method can further include receiving a writing sample from the same user and utilizing the stored parameters to segment characters in the writing sample for use in automated handwriting recognition of the writing sample.
Abstract:
An image is received that contains handwritten characters as answers to an inquiry. An automatic character recognition process is performed on the image to generate initially recognized characters from the handwritten characters. The initially recognized characters of an incorrect answer to a question of the inquiry are analyzed to automatically identify alternative recognized characters of the incorrect answer. Then, it can be determined whether one or more of the alternative recognized characters, when substituted in place of the initially recognized characters of the incorrect answer, change the incorrect answer to a correct answer to the question. If the alternative recognized characters substituted in place of the initially recognized characters in the correct answer exceed a minimum character recognition confidence value, the incorrect answer is changed to the correct answer to modify the initially scored answers to modified scored answers, and such are output.
Abstract:
Methods, devices, and systems replace solid lines of user-fillable areas of a print job with patterned lines and then print the print job with the patterned lines to print user-fillable pre-printed forms, using a printing device. These methods, devices, and systems also scan at least one of the user-fillable pre-printed forms having user markings to produce a scan, using an optical scanner. Further, such methods, devices, and systems produce an altered scan by removing only the patterned lines from the scan to leave the user markings in the altered scan using the image processor. Then, these methods, devices, and systems can identify user-supplied characters by performing automated character recognition on the user markings in the altered scan using the image processor and output such user-supplied characters from the image processor.
Abstract:
This disclosure provides methods and systems to classify handwritten words associated with an answer to a question. According to an exemplary embodiment of this disclosure, a reference dictionary is constructed as a function of a known answer to the question, the reference dictionary including handwritten characters which are used for comparison purposes to determine if the handwritten answer if correct or not.
Abstract:
A system and method for determining handwritten character segmentation shape parameters for a user in automated handwriting recognition by prompting the user for a training sample; obtaining an image that includes handwritten text that corresponds to the training sample; sweeping the image with shapes corresponding to parameters to determine coordinates of the shapes in the image; segmenting the image into segmented characters based on the coordinates of the shapes; determining character segmentation accuracies of the parameters; and storing an association between the user and the parameters. The system and method can further include receiving a writing sample from the same user and utilizing the stored parameters to segment characters in the writing sample for use in automated handwriting recognition of the writing sample.