An embodiment of the present invention is directed to a combination of two deep-learning computer vision models—customized with post-processing—wrapped in a mobile application that is backed by an Application Programming Interface (API) supporting concurrent mobile users to accomplish asset serialization tasks in a warehouse or other storage environment.

Embodiments of this application are applicable to the field of artificial intelligence technologies, and provide a method and an apparatus for character selection based on character recognition, and a terminal device. The method includes: obtaining a connectionist temporal classification sequence corresponding to text content in an original picture; calculating character coordinates of each character in the connectionist temporal classification sequence; mapping the character coordinates of each character to the original picture, to obtain target coordinates of each character in the original picture; and generating a character selection control in the original picture based on the target coordinates. The character selection control is used to indicate a user to select a character in the original picture. By using the foregoing method, when the user manually selects the character, precision of positioning the character can be improved, and efficiency and accuracy of manually selecting the character can be improved.

Provided are a method and an apparatus for recognizing a tire by using an image of a tire captured by using a terminal. The apparatus recognizes a tire by converting an image of a round tire included in the image into a linear image, extracting an area of a character to be recognized from the linear image, and determining a character for learning, which is most similar to the extracted area of the character to be recognized from among a pre-constructed group of characters for learning, as a character in the area of the character to be recognized.

An information processing system includes a processor configured to: make an attempt to acquire, from recording medium images obtained by reading a plurality of recording media, target content information recorded on each of the plurality of recording media; and among the plurality of recording media, output information about an erroneous recording medium, the erroneous recording medium being (a) a recording medium of which the attempted acquisition of the target content information has been unsuccessful or (b) a recording medium of which the target content information acquired by the attempted acquisition does not satisfy a predetermined condition.

The present disclosure generally relates to methods and user interfaces for managing visual content at a computer system. In some embodiments, methods and user interfaces for managing visual content in media are described. In some embodiments, methods and user interfaces for managing visual indicators for visual content in media are described. In some embodiments, methods and user interfaces for inserting visual content in media are described. In some embodiments, methods and user interfaces for identifying visual content in media are described. In some embodiments, methods and user interfaces for translating visual content in media are described.

A facility for initiating a purchase is described. The facility receives a text sequence captured by a user from a rendered document using a handheld text capture device. The facility identifies in the received text sequence a reference to a distinguished product. In response to identifying the reference, the facility presents to the user an opportunity to place an order for the established product. If the user accepts the presented opportunity to order the distinct product, the facility orders the distinct product on behalf of the user.

In the case where a user extracts a desired character string by specifying a range by using a finger or the like of him/herself on an image including a character, a specific character (space or the like) located at a position adjacent to the desired character string is prevented from being included unintendedly in the selected range. The character area corresponding to each character included in the image is identified and character recognition processing is performed for each of the identified character areas. Then, from results of the character recognition processing, a specific character is determined and the character area corresponding to the determined specific character is extended. Then, the range selected by the user in the displayed image is acquired and character recognition results corresponding to a plurality of character areas included in the selected range are output.

A handwriting input display apparatus causes display means to display a stroke generated by an input made by using input means to a screen as a handwritten object. The apparatus includes display control means for causing the display means to display character string candidates including a handwriting recognition candidate when the handwritten object does not change for a predetermined time. When the handwriting recognition candidate is selected, the display control means causes the display means to erase a display of the character string candidates and a display of the handwritten object, and causes the display means to display a character string object at a position where the erased handwritten object was displayed. When selection of the handwriting recognition candidate is not performed for a predetermined time and the display of the character string candidates is erased, the display control means causes the handwritten object to be kept displayed.

An improved method for verifying whether a character-recognition technology has correctly identified which characters are represented by character images involves displaying the uncertain character images in place of their respective hypothesis characters in a document being read a verifier. The verifier may mark incorrectly spelled words containing the uncertain character images. Based on the markings, a system adjusts a confidence level associated with the hypothesis about the uncertain character in order to obtain a confirmed hypothesis linked to the uncertain character.

In an information processing apparatus, character recognition processing is executed on a character string image including a plurality of characters, and a character string as a result of the character recognition processing on the character string image is displayed. When any character in the character string displayed as the result of the character recognition processing is selected by a user, a correction candidate character for the selected character is displayed based on a character string in master data managed in a database, different from the character string displayed as the result of the character recognition processing in a predetermined number of characters and in at least the selected character. When the displayed correction candidate character is selected by the user, the character string as the result of the character recognition processing is corrected using the selected correction candidate character.