RU2653282C2 - Using built-in scanner software for time saving due to re-scanning rejection - Google Patents

Abstract

FIELD: image forming devices.

SUBSTANCE: invention relates to the conversion of printed documents into electronic images for processing or storage in a computer system. Description of methods and devices for detecting the boundaries of documents in flatbed and multifunctional scanners at the first pass of the carriage assembly and the subsequent scanning with high resolution in the second pass is provided. Then images of high-resolution documents can be obtained without operations or with little or no operations, usually necessary to identify the necessary areas on the scanner's tablet. Textures on the scanner cover make it easier not only to identify the edges of the document, but also to determine the orientation of the text and other objects, as well as image processing in preparation for OCR and related functions. Electronic images and files obtained from paper documents can be automatically cropped, they can be tilted, they can be subjected to OCR, and they can be given names corresponding to their content or other information received from them.

EFFECT: technical result is to shorten the scanning time of the document.

36 cl, 9 dwg

Description

FIELD OF TECHNOLOGY

The present invention relates to functions traditionally associated with the conversion of printed documents into electronic images for processing or storage in a computer system. To solve this problem, flatbed scanners and multifunction devices (MFPs) are often used. In particular, the implementation options provide an increase in scanning speed and a reduction in the number of scan passes needed to process documents or other objects.

BACKGROUND

A document processed by an optical character recognition (OCR) system is initially typically presented as an electronic image. Printed images to be stored in a computer system are also usually initially presented as electronic images. Typically, these images are obtained from a flatbed scanner or multifunction device with the functions of a printer and a scanner (MFP).

In a flatbed scanner or MFP, there is usually a carriage assembly that converts the light flux into an electronic image, a stepper motor assembly that moves the carriage, and a main electronic circuit board that generates and processes the electronic image and, if necessary, transmits the electronic image to the computer system via an interface cable, LAN cable or wireless network through one or more network protocols.

In FIG. 1 shows an example of a conventional scanner 100 in accordance with the prior art and a typical example of a scanning operation of a paper document 102. FIG. 1, the scanner 100 comprises a scanner housing 104 and a glass or tablet 106 on which one paper document or several paper documents 102 is placed. The hinged lid 108 covers documents 102. The lid 108 has a uniform solid white background or a solid black background 110 in the scanner working area . In operation, the lid 108 is closed.

When working with a flatbed scanner, the user first starts a preview to see where the paper documents are located on the tablet 106 of the device 100. It is necessary to find out how these documents 102 are located on the tablet 106 so that the user can manually select or specify one or more scanning areas. During the preview, the scanner quickly moves the carriage (not shown) along the tablet 106 or the housing 104 from its original position to its final position. At this point, that is, during the preview, the lamp in the carriage is turned on. The device scans and receives an electronic image with a fairly low resolution. Then the carriage returns to its original position. During the reverse movement, to extend the lamp life and reduce power consumption, the lamp in the carriage is turned off and scanning is not performed. The preview image is transferred to the connected computer.

The user then examines the result of the preview on a computer screen connected to the scanner. The user selects one or more scan areas and initiates a scan, usually with a high resolution, to obtain an electronic image of high enough quality to perform OCR (optical character recognition), save it as an electronic file, print, send by email, etc. d.

When the scanner 100 scans with high resolution, it again moves the carriage along the tablet 106, but this time at a lower speed.

The lamp is on, the scanner scans and creates one or more electronic images with a relatively high resolution or with a resolution that is higher than with a preliminary scan. Then the carriage returns to its original position. If the user has two or more documents for scanning on the flatbed scanner 106, then the user needs to start scanning from a new or uninitiated scanning area, since the scanner 100 is not able to detect the position of the next paper document on the flatbed 106, as well as the size and orientation of the new paper document (paper documents) placed on the flatbed scanner 106. After repeating the initial scan, the user must again select one or more areas to scan from low resolution before he can get electronic images.

As a result, the user is forced to run the scanner twice for each document: first for a preview, and then for high-resolution scanning. In addition, as a rule, the user must have a computer connected to or connected to the scanner in order to control the scanner and the scanning process to obtain scanned images.

To work with a series of images on a connected computer, the user must open each image sequentially using an image editing program. The user must manually crop, eliminate the tilt, remove digital noise, change the gamma value, come up with a file name and start the save operation to save the image as a computer file. Such a scenario is repeated millions of times every day. Such a scenario is tedious, and it can be automated.

In FIG. 5A is a flowchart of a method 500A for scanning documents using a flatbed scanner in accordance with a known technique. In FIG. 5A, a user places one or more documents on a flatbed scanner 502. An image of a person 503 in FIG. 5A means that, as a rule, the user performs this step manually. After that, the user presses the preview button 504. The scanner carriage is activated and moves forward along the scanner tablet; In this case, the tablet is scanned, and the scanner receives an image of 506 (low resolution). Then, the document area 508 is determined automatically or programmatically. The carriage returns to its initial position 510. A low-resolution image is transmitted to the connected computer 512. A snapshot of the preliminary image is displayed on the display 514, which is connected to the computer. The start border or region is determined for all documents in the image captured during the first scan. One or more areas for further scanning 516 are manually selected. This selection is based on the first image or the preview image received from the scanner. The user then presses the scan button 518 or uses another piece of software that initiates a final (not preliminary) scan.

In response, the scanner scans (with high resolution) all selected areas 520. Images or files are transferred to the connected computer 522. Typically, the user opens the images in a graphical editor 524 - at least to make sure that the quality of the captured images is sufficient for its purpose . The user sequentially works with the captured images, for example, selecting the following image 526. Often, the user manually frames the images captured with a higher resolution of 528, manually eliminates the tilt of the images 530, manually removes the noise from the image 532, and manually performs gamma correction of the images 534. Then, the user must come up with a file name for each file 536 and save each file on an electronic storage device 538. As a rule, the user works with images sequentially while each No image will be saved. If the image is the last 540, then the user closes the image editor 542 and then manually processes the saved images 544: performs OCR for one or more images, sends the images using the email client, prints the images and transfers the images for sharing on the social network site.

If the user is working with an MFP, then he cannot perform a preview. In this case, the user presses a function button on the MFP, for example, selects a button or menu item corresponding to the Scan to Folder or Scan and Send by Email command. In addition, as a rule, the user must configure or select one or more parameters of the MFP. For example, the user must select a target folder on the local network or specify an email address and select the necessary settings related to the previously mentioned functions.

Typically, when a user presses a function button, the MFP moves the carriage out along the tablet, with the carriage lamp on. The MFP scans the entire area of the tablet and creates one high-resolution electronic image. Then the carriage returns to its original position. At this point, the lamp on the carriage is turned off, and scanning is not performed.

In this scenario, the user is not able to review the result of the initial scan, view the results of scanning the MFP, or select the area to scan that is different from the entire MFP tablet. Instead, he has to use a computer to view the scanned image that was saved or sent by e-mail from the MFP. After viewing this image, the user can then crop, correct the tilt, perform OCR, or perform other operations on the image. At the same time, if the book was scanned, and during scanning it was not possible to capture the necessary part of the paper document, the user must return to the MFP in order to scan again.

In FIG. 5B is a flowchart of a 500B method for scanning documents using a multifunction device or a multifunction printer (MFP) in accordance with a known technique. In FIG. 5B, the user places one or more documents on the tablet or in the MFP 552 feeder. Then the user presses or selects the function button 554. The scanner carriage is activated, and the scanner (or connected computer) receives a high-resolution image 556. Then the carriage returns to its initial position 558. Typically, a high resolution image is stored on an internal electronic storage device. The image is saved with the default or common serial name 560. The image or file 562 is transferred in accordance with the function associated with the function button that was previously selected. Next, the user goes to a computer, for example, to a personal computer or a computer connected to the MFP 564 via a network. The user must find the file on the local hard drive or in another place, for example, in a shared network folder associated with the MFP 566. After that, the user must determine whether the particular file is an image or a set of images corresponding to paper documents that he originally put in the MFP 568.

When these images are found, the user usually opens the images in a graphical editor 570 - at least in order to ensure that the quality of the captured images is sufficient for his purposes. Often (but not in every case) the user manually frames the images 572, manually eliminates the tilt of the images 574, manually removes the noise from the images 576 and manually performs gamma correction of the images 578. The user can close the image editor 580. Then the user must come up with a file name for each file 582 based on its contents and save each file in accordance with the invented file name on the digital storage device 584. Typically, the user works with images sequentially, while each and siderations will not be saved. After the naming of files is completed, the user can additionally manually process the saved images, for example, by performing OCR of one or more images, sending images using an email client, printing the images and transferring the images for sharing on a social network site.

At the same time, there is the possibility of a significant improvement in the laborious process of scanning paper documents and working with images of such documents.

SUMMARY OF THE INVENTION

A description is given of methods and devices for detecting document boundaries in flatbed and multifunctional scanners during the first pass of the carriage assembly and subsequent scanning with high resolution in the second pass. Then images of high-resolution documents can be obtained without operations or with practically no operations, usually necessary to identify the necessary areas on the scanner tablet. The textures on the scanner lid facilitate not only the identification of the edges of the document, but also the determination of the orientation of the text and other objects, as well as image processing in preparation for OCR and related functions. Some functions, such as those related to OCR, can be automated. For example, images and electronic files obtained from paper documents can be automatically cropped, they can be tilted, optical character recognition and sequential naming can be made in accordance with the content or other information obtained from paper documents.

Any of a variety of textures can be used to apply on the scanner lid. A texture can be an image containing one or more fragments or cyclically repeating patterns or textures. For example, a texture can be a standard grid of solid lines, many stripes running parallel to the flatbed scanner, two sets of parallel lines, a set of lines with unequal intervals between them, a sequence of strokes or dots, or all kinds of configurations made up of one or more figures.

BRIEF DESCRIPTION OF THE DRAWINGS

The features of the present invention are set forth in the attached claims. However, the present invention, together with its objectives and advantages, will be more apparent from the following description of preferred embodiments, which should be read in conjunction with the accompanying drawings. Throughout the description, like numbers refer to like elements, with the first digit usually referring to a drawing that first illustrates a particular element.

In FIG. 1 is a perspective view of a flatbed scanner in accordance with the prior art.

In FIG. 2 is a perspective view of a flatbed scanner in accordance with one embodiment of the present invention for flatbed scanners.

In FIG. 3 shows a layout of documents (for example, checks, business cards) lying on the tablet of a flatbed scanner, for example, the scanner shown in FIG. 2.

In FIG. 4 shows various textures for a scanner lid or background in accordance with various embodiments.

In FIG. 5A is a flowchart of a method for scanning documents with a flatbed scanner in accordance with a conventional technique.

In FIG. 5B is a flowchart for a method for scanning documents using a multifunction device or a multifunction printer (MFP) in accordance with a conventional technique.

In FIG. 6 shows an example implementation of a method for scanning a document in accordance with an embodiment of the present invention.

In FIG. 7 is a table illustrating the differences between conventional scanning methods and scanning in accordance with an embodiment of the present invention.

In FIG. 8 shows an example of equipment (a computer) that can be connected to a scanner to implement the procedures of the present invention in an electronic device in accordance with an embodiment of the present invention.

DESCRIPTION OF PREFERRED EMBODIMENTS

In a broad sense, embodiments and methods of the present invention relate to methods for reducing the time, resources and power associated with the operation of a scanner or multifunction printer (MFP) or other device having the ability to scan and capture images when receiving images from paper documents. In addition, some functions can be automated.

In FIG. 2 shows an example of a scanner 200 in accordance with an embodiment of the present invention for scanning one or more paper documents 102. FIG. 2, the scanner 200 comprises a scanner body 104, a glass plate or tablet 106 and a cover 108. On the cover 108 there is a background 202 that is coated with a texture, pattern or pattern instead of a uniformly solid white or solid black background. In operation, the cover 108 is preferably kept closed. Background 202 provides opportunities for more intelligent scanning operations.

In FIG. 3 shows a layout of documents (for example, checks, business cards) lying on the tablet of a flatbed scanner, for example, the scanner shown in FIG. 2. In FIG. Figure 3 shows two separate representations of documents 302 and 304, which are located on the tablet 106. Also, the background with the printed texture is visible behind, outside the outline of the document (s) lying on the scanner tablet. Presented documents 302 and 304 are shown as illustrative only. In addition, for illustration, a background with a printed texture 306 is shown with a uniform texture. However, as described in more detail below, this is not a requirement for a background with a texture 306. In practice, documents presented as 302 and 304 can be any document or other type of physical document or object that can be scanned in a scanner 200 Documents 302 and 304 are shown lying obliquely on the tablet 106 to illustrate that the invention is applicable to documents arbitrarily positioned or oriented with respect to the tablet of the scanner. The scanner 200 or a computer connected to it (not shown in FIG. 3) can be programmed to detect a crop region 308 around the presentation of one document 302, the views of both documents 302 and 304, or around separate views of documents 302 and 304, even if views Documents 302 and 304 overlap vertically.

In operation, the scanner 200 performs an initial scan of the low resolution tablet 106. This initial scan can be done quickly. Immediately after this, the scanner 200 can obtain or identify the framing area 308. Then, instead of waiting for further interaction with the user, the scanner 200 or a computer connected to it (that is, software or part of the operating system running on the computer) can immediately scan from high resolution or second scan of the image using information, texture or data obtained from the background with the texture applied to it 306. It is not required that the scanner carriage (not assisted) returned to its original position. In one pass (round trip), that is, for the forward and backward passes of the scanner 200, you can get a high resolution image or an image prepared for further processing without manual intervention by the user. After the initial pass and after identifying areas of interest, the scanner 200 may scan one or more areas, such as a framing area 308, which is likely to contain one or more documents to be captured or scanned. In subsequent processing, a user or a set of program commands can crop the image and perform other actions with the image (s) with high resolution.

In FIG. 4 shows various textures for a scanner lid or background in accordance with various embodiments. In FIG. 4, according to one embodiment, a texture is an image that contains one or more fragments or cyclically repeating patterns or textures. For example, the texture may be a standard grid 402 formed by solid lines running at equal intervals perpendicular to each other, and its squares are oriented in the same way as a flatbed scanner (not shown in Fig. 4). In another embodiment, the texture may be a plurality of printed dots of small diameter 404. In another embodiment, the texture is a set of lines forming a regular grid oriented at an arbitrary angle with respect to the flatbed scanner (406). In another example implementation, the texture is formed by two sets of parallel lines 408, and inside each of the sets, the lines are parallel to each other, but are located at different intervals. In addition, each set of lines is oriented at an arbitrary angle with respect to another set of lines. In yet another embodiment, the texture may be a series of strokes, points, crosses, circles, angles and / or other shapes 410 located in one or more directions or along one or more lines or contours. In another example implementation, the texture is a random or close to random set of shapes (for example, points, strokes, squares, rectangles) located on the lid of the scanner 108 at sufficiently large intervals. In another example implementation, the texture contains strokes, dots, crosses, circles, corners and / or other figures located with a higher density as they radially or linearly approach the center of the scanning surface and with a lower density at its edges. With this implementation, program teams can determine the position of the document relative to the scanning surface.

In general, a texture can be similar to paper drawn in a cage, in a ruler, or diagonally. All elements of the texture can be the same color or different colors. Elements can be printed, applied with ink, fixed to the scanner lid with glue or in any other way, or molded into plastic, metal or other material of the scanner lid. The texture can be placed on a separate plate or sheets that are placed on top or behind the scanned objects.

Unlike figures 5A and 5B, in FIG. 6 shows an example implementation of a document scanning method in accordance with an embodiment of the present invention. In this embodiment, in step 602, the user first places one or more documents on a flatbed scanner or MFP. The user then presses the function button in step 604, for example, the "SCAN" button. The scanner scans with low resolution when its carriage moves in the first or forward direction at step 606. The scanner or connected computer (or a combination of scanner and connected computer) automatically (software) determines or sets the document area or area of interest in step 608. During capture when scanning with a low-resolution flatbed scanner accurate detection of the shape, size and coordinates of a document can be done using software or commands implemented in the Ministry of Finance , Scanner and / or a connected computer. Such processing can be performed during a step that is traditionally associated with pre-scanning while the MFP or scanner carriage moves forward. Thus, the delay for the user becomes small or even absent, because in any case, the MFP or scanner must mechanically perform the steps associated with capturing the image.

When the carriage moves in the second direction, that is, when returning or when moving in the opposite direction, the scanner captures the image or scans with high resolution at step 610. Then, for each document, the angle of inclination, gamma and noise level are determined. All images corresponding to documents on the scanner can be automatically cropped at step 614. The existing slope can be automatically corrected at step 616. The noise of each document image can be automatically adjusted or deleted at step 618. Corrections to the gamma value can be automatically made for each document at step 620. Moreover, all operations 614, 616, 618, 620 can be performed for each document independently of each other. For example, the first document can be processed with a gamma value of 1.2 to remove noise. At the same time, the second document can be processed with a gamma value of 1.05 without removing noise.

In a preferred embodiment, at step 622, optical character recognition (OCR) is performed for images containing text in the image. This step is optional, but it is a precursor to other functions. Based on one or more characteristics of the images, each image or its part is automatically associated with a certain type of document in step 624. Thus, a document in the scanner can be defined as a check based on, for example, certain characteristics, such as the number of the check in one corner of the area and the block Signatures in one area near the edge.

At step 626, a context-sensitive name for each image is automatically generated. Such a name can be obtained from the text recognized in the image. Each image is automatically saved as one or more computer files at step 628. Subsequently, one or more other functions can be automatically performed at step 630. For example, images from documents in the scanner can be sent using the email protocol to one or more email addresses. Another example is that text-free images can be additionally saved in the original or uncompressed format, and text documents can be saved as PDF files. The third example - the first document can be classified as text, recognized and saved as a PDF file with a text layer. At the same time, the second document can be classified as a color photograph and saved as a JPG file without character recognition.

One of the advantages of this method includes scanning all documents in the scanner in one pass of the carriage. Each document requires only one pass.

In FIG. 7 is a table illustrating the differences between conventional scanning methods and scanning in accordance with an embodiment of the present invention. The first column 702 provides a list of features. The second column 704 contains capabilities associated with conventional scanning of documents using a flatbed scanner. The third column 706 presents the capabilities of conventional document scanning using a multifunction device with scanner and printer (MFP) functions. The fourth column 708 presents the possibilities for scanning documents in accordance with one embodiment of the present invention.

The following is a description of some of the differences in scanning in flatbed scanners and MFPs. One difference is the number of carriage passes needed to scan documents. Only one pass 710 is needed to scan multiple documents if there is a background behind the documents. For comparison, in accordance with known methods and without using a background, the carriage of a flatbed scanner or MFP should be powered again.

Another difference is that it can automatically crop all scanned documents 712. This is the difference from traditional scanning methods. In traditional cases, framing is not performed at all, or it must be done manually on the connected computer using separate software or another software item. According to this invention, framing is performed automatically, using one or more background features behind a document or documents placed in the scanner. The scanner can automatically crop. One embodiment of automatic cropping includes the following: determining one or more features in the background, detecting the edges of each document in the image obtained from the flatbed scanner, determining the coordinates associated with the edges of each document, and performing a cropping operation, for example, by saving each reduced area associated with the relevant document as an electronic image or file. Automatic framing can be done by software, firmware, or hardware commands implemented in the MFP or scanner, or using software commands, firmware, or hardware commands implemented on a computer connected to the MFP or scanner. Another difference is that automatic tilt correction can be performed for all scanned documents 714. This is the difference from traditional scanning methods. In traditional cases, automatic tilt correction cannot be performed at all or tilt correction must be performed manually. In this invention, tilting is performed automatically; it is facilitated by one or more features of the background behind the document or documents in the scanner. One embodiment of automatic tilt correction includes the following: determining one or more background features, detecting the edges of each document in an image obtained from a flatbed scanner, or determining the direction of elements in each document, determining the tilt angle for each document, and performing tilt correction operations, for example, by rotating each image for the corresponding document in accordance with the angle of inclination. The angle of inclination of the first document may differ from the angle of inclination of the second document if the first document and the second document are scanned and placed for scanning on the scanner, since the first and second documents can be independently oriented on the flatbed of the scanner. Automatic tilt correction can be done by software, firmware, or hardware commands implemented in the MFP or scanner, or by using software commands, firmware, or hardware commands implemented on a computer connected to the MFP or scanner.

Another difference is that automatic optical character recognition (OCR) of scanned documents 716 can be performed. This is in contrast to traditional scanning methods. In traditional cases, OCR cannot be performed at all, or OCR must be performed manually or in a separate step after cropping or other operation. In the present invention, OCR can be performed automatically using one or more background features of a document or documents in a scanner. One embodiment of automatic text recognition includes the following: determining one or more background features, detecting the edges of each document in an image obtained from a flatbed scanner, or determining the direction of elements (lines) in each document, and performing an OCR operation for each document based on the detected edges or directions in the training document. Automatic OCR can be performed by software, firmware, or hardware commands implemented in the MFP or scanner, or using software commands, firmware, or hardware commands implemented on a computer connected to the MFP or scanner.

Another difference is that automatic naming of files 718 can be performed. The name assigned to a particular document preferably includes one or more words derived from the body or contents of that particular document. This is the difference from traditional scanning methods. In traditional cases, automatic OCR cannot be performed at all, or OCR must be done manually. OCR is one of the sources of words that can be used to create the name of the corresponding document or image. In this invention, automatic naming can be performed automatically, it is facilitated by one or more background features behind a document or documents in a scanner. One embodiment of automatic naming involves using fragments of text obtained by performing OCR on the relevant documents. Such an implementation includes identifying one or more background features, determining the direction of the lines in each document, performing an OCR operation for each document, and creating a name for the corresponding documents based on the output of the OCR operation. Automatic naming can be done by software, firmware, or hardware commands implemented in the MFP or scanner, or using software commands, firmware, or hardware commands implemented on a computer connected to the MFP or scanner.

Changing the gamma value, correcting the tilt, and clearing the image are optional operations. These operations can be performed for each document separately. In traditional cases, these operations are usually performed manually, and they cannot be automated. In one case (when using the MFP), these operations can be performed automatically, but they are limited to performing these operations for all documents considered together as one image. In the described invention, gamma correction, tilt correction and image cleaning can be performed automatically, and they can be performed for each document separately. They can be executed by software, firmware, or hardware commands implemented in the MFP or scanner, or by software, firmware, or hardware commands implemented on a computer connected to the MFP or scanner.

OCR, document classification, and automated file name creation are optional operations. These operations can be performed for each document separately. In known conventional techniques, these operations must be performed manually. In the described invention, these operations can be performed automatically. The scanner or MFP can perform any of these operations using software commands, firmware or hardware commands implemented in the MFP or scanner; they can be started with the function key pressed at the beginning of the implementation.

Turning now to FIG. 8, an example equipment 800 is shown, this equipment can be used to implement the methods described herein in accordance with an embodiment of the present invention. Equipment 800 typically includes at least one processor 802 coupled to memory 804. Processor 802 may be one or more processors (eg, microprocessors), and memory 804 may be random access memory (RAM) devices containing the main equipment storage device 800, as well as any additional memory levels (for example, cache, non-volatile or backup storage devices such as programmable storage devices or flash drives) only memories, etc. In addition, memory 804 may include a storage device physically located elsewhere in equipment 800, such as any cache in processor 802, as well as any storage device used as virtual memory, such as mass storage device 810.

Equipment 800 also typically has several inputs and outputs for receiving information from the outside and transmitting information to the outside. As the user or operator interface in system 800, one or more user input devices 806 (such as a keyboard, mouse, scanner, etc.) and a display 808 (e.g., a liquid crystal display) can be used. As additional memory, the equipment of system 800 may also include one or more mass storage devices 810, for example, a diskette drive or other removable disk drive, a hard disk drive, direct access storage device (RAM), an optical drive (e.g. a compact disk (CD) drive, a universal digital drive for DVD, etc.) and / or a tape drive, etc. In addition, equipment 800 may include an interface with one network or several networks 812 (e.g. Example, with a local area network (LAN), wide area network (WAN), wireless network and (or) the Internet, etc.) for exchanging information with other computers connected to these networks. It should be borne in mind that equipment 800 typically includes appropriate analog and / or digital interfaces between processor 802 and each of components 804, 806, 808, and 812, as is well known to those skilled in the art.

Equipment 800 operates under operating system 814 and runs various software applications, components, programs, objects, modules, etc., which are collectively tagged with reference number 816 to implement the methods described above.

In general, the procedures used to implement the embodiment can be used as part of an operating system or a separate application, component, module object, or sequence of instructions referred to as “computer programs”. Typically, computer programs contain one set of instructions or several sets of instructions recorded at different points in time in various storage devices and storage systems in the computer; after being read and executed by one or more processors in the computer, these instructions cause the computer to perform the operations necessary to perform elements related to various aspects of the present invention. Moreover, although this invention has been described in the context of fully functional computers and computer systems, those skilled in the art will understand that various embodiments can be distributed as a software product in various forms, and that this invention is equally applicable regardless of the particular type of machine or machine-readable medium actually used for distribution. Examples of computer readable media include, but are not limited to, rewritable volatile and nonvolatile memory devices, floppy disks, external and internal hard drives, optical disks (CD, DVD), etc.

Despite the fact that the present invention has been described with reference to specific options for its implementation, it is obvious that in these options you can make various modifications and changes without deviating from the broader essence of the invention.

In addition, a person skilled in the art can practice the invention without providing specific details.

Reference in this description to “one embodiment” or “embodiment” means that a particular feature, structure or characteristic described in connection with an embodiment is included in at least one embodiment of the present invention. The phrases “in one embodiment (implementation)” in different places of the description do not necessarily refer to the same variant, and individual or alternative variants do not exclude each other. Moreover, the various described features may be indicated in some embodiments, and not indicated in other embodiments. Similarly, some of the requirements described herein may relate to one embodiment, but not relate to other embodiments. Accordingly, the description and drawings should be considered as illustrations and not as limitations.

Claims (81)

1. A device for scanning a document containing: a case comprising a transparent tablet, configured to place one or more documents on it; a scanning carriage for generating at least one electronic image of one or more documents, configured to scan with a first resolution when passing in a first direction and scan with a second resolution higher than said first resolution when passing in a second direction opposite to that first direction; and a cover for a transparent tablet containing a texture applied thereon, used in processing one or more images. 2. The device according to claim 1, characterized in that the texture contains a repeating element of the pattern. 3. The device according to claim 1, further comprising: one or more electronic storage devices containing software instructions for performing steps, including: obtaining an electronic image of a document; detection of the edges of the presentation of the document based on the electronic image; cropping a portion of the electronic image based on the detected edges; determining the orientation of the generated electronic image relative to the edge of the electronic image of the document; and elimination of the tilt of the electronic image based on a specific orientation. 4. The device according to claim 3, in which the steps further include: receiving electronic submission of a document; detection of document edges based on electronic representation of the document; framing part of the electronic representation of the document based on the detected edges; determining the orientation of the electronic presentation of the document; and elimination of the tilt of the electronic presentation of the document based on a certain orientation. 5. The device according to p. 4, characterized in that the texture is made in the form of many texture elements, where two texture elements are spatially closer to each other than to other texture elements. 6. The device according to p. 3, characterized in that the steps further include: optical character recognition (OCR) in the representation of at least one part of the document; and Recording text recognized during OCR for electronic saving. 7. The device according to p. 3 or 4, characterized in that the elimination of the inclination includes: detecting the angle of the document based on the detected edges with respect to the transparent tablet; determination of the angle of rotation for the presentation of the document; and generating an electronic copy of the presentation of the document based on the rotation angle. 8. The device according to p. 3 or 4, characterized in that the elimination of the inclination includes: after forming the electronic image of the document, detecting the angle of inclination from the presentation of the document with respect to the transparent tablet; determination of the angle of rotation for the presentation of the document; and generating an electronic copy of the presentation of the document based on the rotation angle. 9. The device according to p. 3 or 4, characterized in that the elimination of the inclination includes: guideline detection for a line of text from a document view; determination of the angle of rotation for the guide line relative to the edge of the presentation of the document; and generating an electronic representation of a part of a document based on a rotation angle. 10. The device according to claim 5, in which the steps further include: detecting the edge of the document presentation by detecting texture elements on the cover and detecting elements in the document view associated with detected texture elements on the cover; and generating an electronic presentation of the document based on the detected edge of the presentation of the document. 11. The device according to p. 5, characterized in that the formation of an electronic image further includes: elimination of the tilt of the electronic image based on the texture elements on the cover relative to the detected elements in the presentation of the document. 12. The device according to claim 1, in which when scanning with a first resolution, the sizes of one or more documents are determined. 13. The device according to claim 1, in which when scanning with a second resolution, the noise is regulated by one or more electronic images of one or more documents. 14. A system for generating an electronic presentation of a document, comprising: one or more electronic storage devices configured to store one or more electronic images; a texture positioned behind one or more documents before scanning one or more documents; a scanning carriage for generating an electronic image of one or more documents against a texture located on a cover for a transparent tablet, configured to scan with a first resolution when passing the specified carriage in the first direction and scan with a second resolution higher than the specified first resolution, when it passes in the second direction opposite to the specified first direction; and executable instructions prompting the scanning carriage to form the specified one or more electronic images. 15. The system of claim 14, further comprising a border detector for determining a boundary between an electronic representation of a document and an electronic representation of a portion of a texture. 16. The system of claim 14, further comprising an electronic image cropping subsystem. 17. The system of claim 14, further comprising an image tilting elimination component. 18. The system of claim 14, further comprising a character recognition subsystem. 19. A method for scanning documents, comprising the steps of: automatic positioning of one or more documents on the scanner’s transparent tablet under the texture adjacent to the scanner’s tablet located on the cover for the transparent tablet over one or more documents; the formation of the first image with the first resolution from the first pass of the scanner image component on the flatbed of the scanner using the texture and the aforementioned one or more documents; programmatically determining at least one area associated with one or more documents using the specified first image and texture; and automatic generation of a second image with a second resolution higher than the specified first resolution from the image component obtained during the second pass of the scanner along at least a portion of the scanner’s tablet. 20. The method according to p. 19, characterized in that the first passage is a passage forward, and the second passage is a passage in the opposite direction. 21. The method according to p. 19, characterized in that the automatic positioning of one or more documents on a transparent tablet scanner includes positioning containing a texture material on top of one or document. 22. The method of claim 19, further comprising: automatic cropping of the first image by selecting one or more portions of the first image; application of the resulting crop in which the formation of the second image. 23. The method of claim 19, further comprising automatically generating a third image from an image component of the second passage based on at least one part of a certain area associated with one or more documents. 24. The method according to p. 19, characterized in that the definition of the area includes cropping at least one part of the first image. 25. The method according to p. 19, characterized in that the determination of the area includes determining the angle of inclination from the first image and applying tilt correction to the second image taking into account the angle of inclination from the first image. 26. The method according to p. 19, characterized in that at least one of the documents includes more than one content area and determining the area associated with at least one of the documents includes determining the specified more than one content area. 27. The method according to p. 19, further comprising: optical character recognition (OCR) in at least one part of the second image. 28. The method of claim 27, further comprising: text extraction based on optical character recognition (OCR) of the second image; generating a file name based on the extracted text; and saving the electronic file with the new generated name together with the specified second image. 29. The method of claim 27, further comprising: determining one or more types of one or more documents associated with the document based on the results obtained by optical character recognition; extracting fragments of text from the specified results; generating a file name based on a plurality of fragments of the extracted text and the specified document type; and saving the electronic file with the generated file name based on the specified second image. 30. The method according to p. 19, in which automatic positioning is carried out from a document feeder, configured to be attached to a scanner. 31. The method according to p. 30, characterized in that the texture is the contents of the background. 32. The method according to p. 31, in which the background contains elements that help distinguish between the background and one or more documents. 33. The method according to p. 32, characterized in that the background elements are made on areas of the specified background and include a repeating figure located with a higher density in the first region of the background compared to another region of the background. 34. The method according to p. 30, characterized in that the texture is made of individual elements. 35. The method according to p. 32, wherein distinguishing the background from one or more documents includes comparing the image with a representation of a portion of the background stored in an electronic storage device component. 36. The method according to p. 29, characterized in that the formation of one or more images of one or more documents located on a transparent tablet is performed using a scanning component in which the background is oriented at an angle or in a predetermined position relative to the direction of movement or position of the scanning component.

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