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Optical Recognition of Handwritten Digits Dataset Normalized bitmaps of handwritten data. Size normalized and mapped to bitmaps. 5620 Images, text Handwriting recognition, classification 1998 [147] E. Alpaydin et al. Pen-Based Recognition of Handwritten Digits Dataset Handwritten digits on electronic pen-tablet.
According to Chicago Sun-Times, the developers understood "what young kids are capable of doing". [14] Redbook praised the game for being playable by kids who were unable to use the point and click mouse interface. [15] Post-Tribune thought the game was a "perfect first-time introduction to the computer". [16]
Tesseract is an optical character recognition engine for various operating systems. [5] It is free software, released under the Apache License. [1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006.
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An element C of H color is a function from the range of visible wavelengths—considered as an interval of real numbers [W min,W max]—to the real numbers, assigning to each wavelength w in [W min,W max] its intensity C(w). A humanly perceived color may be modeled as three numbers: the extents to which each of the 3 types of cones is stimulated.
The games work as basic computerized coloring books, which require the player to fill in a line art picture. There are 16 colors available, which can be mixed for up to 256 colors. [ 5 ] The player can choose from a selection of backgrounds and add any characters to the picture, both of which are based on scenes and characters of the respective ...
The Fly, released in 2005, [2] is a customizable pen that is intended to assist children with schoolwork. There are several bundled and add-on applications available, including a notepad, calculator, language and writing assistant, and educational games; many of these require the use of a small cartridge that can be inserted into a port built into the rear of the pen. [3]
Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points, in many different sizes and scales or even when they are translated or rotated.
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