Abstract: A form of stochastic random distribution is used to print an invisible watermark using a typical, e.g., 600 dpi, printer. The watermark contains such information as “Do Not Copy,” or other such information. Although the watermark is not visible on a first generation version of a document that is printed, various techniques are used to print the watermark in such a way that it becomes readily apparent when the first generation document is photocopied. The preferred embodiment of the invention is concerned with a technique for improving such techniques, for example so that gray levels are improved to address variations from printer to printer. Another preferred embodiment of the invention is also concerned with a technique for performing error diffusion watermarking without the need for performing a calibration step.

Abstract: A form of stochastic random distribution is used to print an invisible watermark using a typical, e.g., 600 dpi, printer. The watermark contains such information as “Do Not Copy,” or other such information. Although the watermark is not visible on a first generation version of a document that is printed, various techniques are used to print the watermark in such a way that it becomes readily apparent when the first generation document is photocopied. The preferred embodiment of the invention is concerned with a technique for improving such techniques, for example so that gray levels are improved to address variations from printer to printer. Another preferred embodiment of the invention is also concerned with a technique for performing error diffusion watermarking without the need for performing a calibration step.

Abstract: A form of stochastic random distribution is used to print an invisible watermark using a typical, e.g., 600 dpi, printer. The watermark contains such information as “Do Not Copy,” or other such information. Although the watermark is not visible on a first generation version of a document that is printed, various techniques are used to print the watermark in such a way that it becomes readily apparent when the first generation document is photocopied. The preferred embodiment of the invention is concerned with a technique for improving such techniques, for example so that gray levels are improved to address variations from printer to printer. Another preferred embodiment of the invention is also concerned with a technique for performing error diffusion watermarking without the need for performing a calibration step.

Abstract: Methods and apparatus are provided to smooth a jagged outline of a reconstructed text generated through any of a variety of systems, such as, for example, an image scanner. Given the reconstructed text with a jagged outline, the methods smooth the outline of the text first through location of horizontal and vertical edges, and subsequent gray scale reconstruction of the edge ink level from a one-bit or a low number of bits edge pattern. The methods then provide identification of the local text outline pattern and corresponding ink level adjustment of the center pixel. The methods produce text having very smooth horizontal and vertical edges. The methods then smooth slanted edges, mend holes in the text, and remove isolated pixels of ink.

Abstract: A form of stochastic random distribution is used to print an invisible watermark using a typical, e.g. 600 dpi, printer. The watermark contains such information as “Do Not Copy,” or other such information. While the watermark is not visible on a first generation version of a document that is printed, various techniques are used to print the watermark in such a way that it becomes readily apparent when the first generation document is photocopied. The preferred embodiment of the invention is concerned with a technique for improving such techniques, for example so that gray levels are improved to address variations from printer to printer. Another preferred embodiment of the invention is also concerned with a technique for performing error diffusion watermarking without the need for performing a calibration step.

Abstract: Methods and apparatus are provided for converting binary image data at a first resolution to binary image data at a second resolution, the methods including detecting the edges of the binary image data, sampling a corresponding point on or substantially near each of the edges, fitting a curve between the sampled points, and re-sampling the curve at the second resolution.

Abstract: A text detection technique comprises local ramp detection, identification of intensity troughs (candidate text strokes), determination of stroke width, preliminary detection of text based on contrast and stroke width, and a consistency check.

Abstract: Methods and apparatus are provided to smooth a jagged outline of a reconstructed text generated through any of a variety of systems, such as, for example, an image scanner. Given the reconstructed text with a jagged outline, the methods smooth the outline of the text first through location of horizontal and vertical edges, and subsequent gray scale reconstruction of the edge ink level from a one-bit or a low number of bits edge pattern. The methods then provide identification of the local text outline pattern and corresponding ink level adjustment of the center pixel. The methods produce text having very smooth horizontal and vertical edges. The methods then smooth slanted edges, mend holes in the text, and remove isolated pixels of ink.

Abstract: Methods and apparatus are provided for converting binary image data at a first resolution to binary image data at a second resolution, the methods including detecting the edges of the binary image data, sampling a corresponding point on or substantially near each of the edges, fitting a curve between the sampled points, and re-sampling the curve at the second resolution.

Abstract: A text detection technique comprises local ramp detection, identification of intensity troughs (candidate text strokes), determination of stroke width, preliminary detection of text based on contrast and stroke width, and a consistency check.

Abstract: A text detection technique comprises local ramp detection, identification of intensity troughs (candidate text strokes), determination of stroke width, preliminary detection of text based on contrast and stroke width, and a consistency check.

Abstract: A form of stochastic random distribution is used to print an invisible watermark using a typical, e.g. 600 dpi, printer. The watermark contains such information as “Do Not Copy,” or other such information. While the watermark is not visible on a first generation version of a document that is printed, various techniques are used to print the watermark in such a way that it becomes readily apparent when the first generation document is photocopied. The preferred embodiment of the invention is concerned with a technique for improving such techniques, for example so that gray levels are improved to address variations from printer to printer. Another preferred embodiment of the invention is also concerned with a technique for performing error diffusion watermarking without the need for performing a calibration step.

Abstract: Methods and apparatus are provided to smooth a jagged outline of a reconstructed text generated through any of a variety of systems, such as, for example, an image scanner. Given the reconstructed text with a jagged outline, the methods smooth the outline of the text first through location of horizontal and vertical edges, and subsequent gray scale reconstruction of the edge ink level from a one-bit or a low number of bits edge pattern. The methods then provide identification of the local text outline pattern and corresponding ink level adjustment of the center pixel. The methods produce text having very smooth horizontal and vertical edges. The methods then smooth slanted edges, mend holes in the text, and remove isolated pixels of ink.

Abstract: A text detection technique comprises local ramp detection, identification of intensity troughs (candidate text strokes), determination of stroke width, preliminary detection of text based on contrast and stroke width, and a consistency check.

Abstract: Methods and apparatus are provided to smooth a jagged outline of a reconstructed text generated through any of a variety of systems, such as, for example, an image scanner. Given the reconstructed text with a jagged outline, the methods smooth the outline of the text first through location of horizontal and vertical edges, and subsequent gray scale reconstruction of the edge ink level from a one-bit or a low number of bits edge pattern. The methods then provide identification of the local text outline pattern and corresponding ink level adjustment of the center pixel. The methods produce text having very smooth horizontal and vertical edges. The methods then smooth slanted edges, mend holes in the text, and remove isolated pixels of ink.