Monotype Imaging Inc.

Jitendra Kumar Bansal

Sampo Juhani Kaasila

Anand Vijay

Prince Dhiman

Mayur G Warialani

Steve Matteson

Vladimir Levantovsky

Vishal Natani

Evan Scronce

Chiranjeev Ghai

A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving an image that includes textual content in at least one font. Operations also include identifying the at least one font represented in the received image using a machine learning system. The machine learning system being trained using images representing a plurality of training fonts. A portion of the training images includes text located in the foreground and being positioned over captured background imagery.

Font identification from imagery

A system includes a computing device that includes a memory configured to store instructions. The computing device also includes a processor to execute the instructions to perform operations that include receiving data representing one or more user-selected item attributes. The data includes one of at least four selectable interest levels for each of the one or more user-selected item attributes. Operations also include identifying one or more items representative of the selected interest level for each of the one or more user-selected item attributes, and initiating delivery of data representing the identified one or more items for user selection.

Using attributes for font recommendations

A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include attaining data representing features of a font capable of representing one or more glyphs. Operations also include determining a rating for pairing the font and at least one other font using machine learning, the features of the font, and one or more rules included in a set of rules.

Pairing fonts for presentation

A system includes a computing device that includes a memory configured to store instructions. The system also includes a processor to execute the instructions to perform operations that include receiving data representing features of a first font and data representing features of a second font. The first font and the second font are capable of representing one or more glyphs. Operations also include receiving survey-based data representing the similarity between the first and second fonts, and, training a machine learning system using the features of the first font, the features of the second font and the survey-based data that represents the similarity between the first and second fonts.

Analyzing font similarity for presentation

A system includes a computing device that includes a memory configured to store instructions. The computing device also includes a processor to execute the instructions to perform operations that include receiving information that represents a font and a portion of textual content of an asset. Operations also include identifying one or more typographical features supported by a scalable font format that are capable of being applied to the portion of the textual content based upon the received information representing the font and the portion of textual content of the asset. Operations also include presenting, by the computing device, an exclusive set of selectable representations. Each of the selectable representations represents one of the one or more identified typographical features supported by the scalable font format for initiating application of the corresponding typographical feature to the textual content of the asset.

Growing community of inventors

Karauli, India

Jitendra Kumar Bansal