A method includes receiving from a first detection system, an image of a license plate, applying an optical recognition function to characters of the license plate, and assigning a confidence value to each of the characters. The method further includes, in response to determining that the confidence value for a particular character is below a threshold, sending an image of the character to a gamified human reviewer application, receiving from the gamified human reviewer application, a human response indicative of a characteristic of the character, and updating the optical recognition function based on the characteristic of the character.

A method includes receiving from a first detection system, an image of a license plate, applying an optical recognition function to characters of the license plate, and assigning a confidence value to each of the characters. The method further includes, in response to determining that the confidence value for a particular character is below a threshold, sending an image of the character to a gamified human reviewer application, receiving from the gamified human reviewer application, a human response indicative of a characteristic of the character, and updating the optical recognition function based on the characteristic of the character.

An artificial neuron unit and neural network for processing of input light are described. The artificial neuron unit comprises a modal mixing unit, such as multimode optical fiber, configured for receiving input light and applying selected mixing to light components of two or more modes within the input light and for providing exit light, and a filtering unit configured for applying preselected filter onto said exit light for selecting one or more modes of the exit light thereby providing output light of the artificial neuron unit.

An artificial neuron unit and neural network for processing of input light are described. The artificial neuron unit comprises a modal mixing unit, such as multimode optical fiber, configured for receiving input light and applying selected mixing to light components of two or more modes within the input light and for providing exit light, and a filtering unit configured for applying preselected filter onto said exit light for selecting one or more modes of the exit light thereby providing output light of the artificial neuron unit.

To make it possible to extract character information with a high accuracy even from a document image obtained by reading a document in which a logo mark or the like overlaps a character portion. By performing binarization processing for a document image obtained by reading a document, a binary image including first pixels representing a color darker than a reference and second pixels representing a color paler than the reference is generated. Then, by changing the pixel among the first pixels included in the generated binary image, whose corresponding pixel's color in the document image is different from a color of a character object within the document, to the second pixel, a binary image in which a background object that overlaps the character object in the document image is removed is generated.

To make it possible to extract character information with a high accuracy even from a document image obtained by reading a document in which a logo mark or the like overlaps a character portion. By performing binarization processing for a document image obtained by reading a document, a binary image including first pixels representing a color darker than a reference and second pixels representing a color paler than the reference is generated. Then, by changing the pixel among the first pixels included in the generated binary image, whose corresponding pixel's color in the document image is different from a color of a character object within the document, to the second pixel, a binary image in which a background object that overlaps the character object in the document image is removed is generated.