Simulating variances in human writing with digital typography

Patent metadata

Field	Value
Publication number	US-9865071-B2
Application number	US-201514949768-A
Country	US
Kind code	B2
Filing date	Nov 23, 2015
Priority date	Jun 20, 2012
Publication date	Jan 9, 2018
Grant date	Jan 9, 2018

Abstract

Methods and systems for rendering text to simulate human penmanship are described. A text rendering engine converts a text string into an image that can be displayed using one or more seed numbers to influence the rendering and appearance of the text. The text rendering engine may render variations of each character of the text string using the seed numbers to select from a set of single-character or multi-character glyphs, or to modify a size, weight, slope, or Bezier curve point of the character.

First claim

What is claimed is:

1. A method, comprising:
receiving a text string comprising a plurality of characters;
storing a plurality of single-character glyphs;
storing a plurality of multi-character glyphs;
generating a plurality of random numbers;
using a first random number of the plurality of random numbers to determine a first character of the plurality of characters to be rendered, wherein the first random number indicates that the first character is to be rendered as a first single-character glyph of the plurality of single-character glyphs;
using a second random number of the plurality of random numbers to determine a second character of the plurality of characters to be rendered, wherein the second random number indicates that the second character is to be rendered as a part of a first multi-character glyph of the plurality of multi-character glyphs; and
selecting a sequence of glyphs from the plurality of single-character glyphs and the plurality of multi-character glyphs, the sequence of glyphs comprising the first single character glyph and the first multi-character glyph.

2. The method of claim 1 , wherein the plurality of multi-character glyphs comprises a plurality of digraphs, wherein each of the plurality of digraphs is associated with exactly two characters, and wherein selecting the sequence of glyphs comprises selecting a sequence of digraphs based on the plurality of characters in the text string.

3. The method of claim 1 , wherein selecting the sequence of glyphs comprises selecting a sequence of single-character glyphs based on at least one random number of the plurality of random numbers.

4. The method of claim 1 , wherein selecting the sequence of glyphs comprises selecting the sequence of glyphs based on one or more predetermined rules.

5. The method of claim 4 , wherein the one or more predetermined rules comprise a rule specifying that one or more specific characters are to be rendered as a single-character glyph.

6. The method of claim 4 , wherein the one or more predetermined rules comprise a rule specifying that a specific character combination is to be rendered as a multi-character glyph.

7. The method of claim 1 , wherein selecting the sequence of glyphs comprises selecting from between at least a first sequence of glyphs and a second sequence of glyphs, wherein the first sequence of glyphs and the second sequence of glyphs both correspond to the characters of the text string.

8. A method comprising:
using a random number to determine a character to be rendered;
identifying, by a processing device, a glyph corresponding to the character;
determining, by the processing device, a variable font defining the glyph, wherein the variable font defines the glyph using one or more probability distribution functions;
generating, by the processing device, a first variation of the glyph by applying a first seed value to the one or more probability distribution functions, the first seed value comprising a first random number;
generating a second variation of the glyph by applying a second seed value to the one or more probability distribution functions, the second seed value comprising a second random number;
rendering the first variation of the glyph at a first occurrence of the character in a text string; and
rendering the second variation of the glyph at a second occurrence of the character in the text string to simulate human handwriting of the text string.

9. The method of claim 8 , further comprising:
receiving an electronic book file comprising a header storing the first seed value and the second seed value and a body comprising the text string.

10. The method of claim 8 , further comprising:
generating a plurality of random numbers;
generating the first seed value using a first random number of the plurality of random numbers; and
generating the second seed value using a second random number of the plurality of random numbers.

11. The method of claim 8 , wherein generating the first variation of the glyph comprises:
determining a first font size based on the first seed value and the one or more probability distribution functions; and
generating the first variation of the glyph based on the first font size.

12. The method of claim 8 , wherein generating the first variation of the glyph comprises:
determining a first font weight based on the first seed value and the one or more probability distribution functions; and
generating the first variation of the glyph based on the first font weight.

13. The method of claim 8 , wherein generating the first variation of the glyph comprises:
determining a first font slope based on the first seed value and the one or more probability distribution functions; and
generating the first variation of the glyph based on the first font slope.

14. The method of claim 8 , wherein generating the first variation of the glyph comprises:
determining a plurality of Bezier parameters based on the first seed value and the one or more probability distribution functions; and
generating the first variation of the glyph based on the plurality of Bezier parameters, wherein the first variation of the glyph is associated with one or more Bezier curves defined, at least in part, by one or more of the plurality of Bezier parameters.

15. The method of claim 14 , wherein at least one of the plurality of Bezier parameters is indicative of a Bezier curve point location coordinate.

16. The method of claim 8 , wherein generating the first variation of the glyph comprises executing a text rendering engine that uses the variable font to determine a base glyph shape and generates the first variation of the glyph based on the base glyph shape and the one or more probability distribution functions.

17. The method of claim 8 , wherein generating the first variation of the glyph comprises executing a text rendering engine that uses the variable font to call a font subroutine that returns a glyph shape for the first variation of the glyph that is different from an original glyph shape of the glyph.

18. The method of claim 8 , wherein the variable font defines the glyph as a set of Bezier curve point probability distribution functions and wherein generating the first variation of the glyph comprises generating sample sets of Bezier curve point location coordinates based on the Bezier curve point probability distribution functions.

19. A system, comprising:
a memory to store instructions; and
a processing device, operatively coupled to the memory, to execute the instructions, wherein the processing device is to:
use a random number to determine a character to be rendered;
identify a glyph corresponding to the character;
determine a variable font defining the glyph, wherein the variable font defines the glyph using one or more probability distribution functions;
generate a first variation of the glyph by applying a first seed value to the one or more probability distribution functions, the first seed value comprising a first random number;
generate a second variation of the glyph by applying a second seed value to the one or more probability distribution functions, the second seed value comprising a first random number;
render the first variation of the glyph at a first occurrence of the character in a text string; and
render the second variation of the glyph at a second occurrence of the character in the text string to simulate human handwriting of the text string.

20. The system of claim 19 , wherein the processing device is further to:
generate a

Assignees

• Amazon Tech Inc

Inventors

• Bacus Michael Patrick
• Deyell Shawn C
• Chen Hong

Classifications

• G09G5/24 Primary

  Generation of individual character patterns · CPC title

• G06F3/00

  Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements · CPC title

• G09G5/28

  for enhancement of character form, e.g. smoothing · CPC title

• G06F40/109

  Font handling; Temporal or kinetic typography · CPC title

• G06T11/60 Primary

  Creating or editing images; Combining images with text · CPC title