Authentication method with markable still image portion

Abstract

The invention relates to a method for checking the authenticity of a printed document (1), the document (1) having at least one individualized region and at least one standardized region, the printed document (1) being captured by an electronic reading device (4) and the captured data being sent to a computer (5). The invention is characterized in that the individualized region is covered with a mask (2) in a computer (5) when an authenticity check is carried out by means of an electronic reading device, and only the standardized region is evaluated in the computer (5) for the authenticity check.

Description

Technical Field

[0001] The present invention relates to a method for authenticity verification of printed documents, wherein the document has at least one individualized area and at least one standardized area, and the printed document is detected / collected by an electronic reading device, and the collected data is sent to a computer. Background Art

[0002] Such a method for authenticity verification of printed substrates is known from the published document DE 10 2020 206 060 A1. In the method described therein, it is proposed that, in a first step, during the printing process, a random pattern is applied to the substrate, the printed substrate is collected by a first electronic reading device in the offset printing and the collected data is sent to a computer, and encrypted data is generated from the collected data of the applied random pattern in the computer. Furthermore, it is proposed that, in a second step, the printed substrate is at least partially scanned by means of a second electronic reading device, and the authenticity of the printed substrate is determined by comparing the scanned image data with the encrypted data of the random pattern. Furthermore, it is proposed that a dynamically generated mask is used to select the random pattern when generating the encrypted data of the random pattern on the printed substrate in the computer. This method and other methods utilize the fact that each printed substrate has a so-called individualized fingerprint due to the different characteristics of each substrate and the smallest deviations occurring during the printing process of each printed substrate. In this way, the authenticity of the printed substrate can be verified. Summary of the Invention

[0003] The object of the present invention is to provide another method for authenticity verification of printed documents, which is particularly used for verifying the authenticity of identification papers. Identification papers are characterized in that many areas of the identification document are fixedly pre-given, and only certain defined preset known areas are printed with the individualized characteristics of the document holder (such as passport photo, date of birth, name, place of issue and expiration date of the document).

[0004] According to the present invention, the above object is solved by the method according to claim 1 of the patent. Advantageous embodiments of the present invention are derived from the dependent patent claims, the description and the drawings.

[0005] In the method for authenticity checking according to the invention, it is provided that during authenticity checking, the individualized area is masked in the computer, and only the standardized area is evaluated in the computer for authenticity checking. In this way, it is ensured that the area used for authenticity checking is not affected or distorted by the personalized image data in the individualized area, and the authenticity checking is only carried out in the standardized area of the document, and for each document to be authenticity-checked, these standardized areas are correspondingly the same. This is typical in the case of identity documents or passports, where only the personal area contains the personal information of the owner of the document being certified, and otherwise the areas are fixedly pre-given and standardized. In the present invention, only these fixedly pre-given standardized areas are used for authenticity checking, in such a way that the individualized area is covered with a mask and thus the individualized area is excluded from the authenticity checking. Then, the standardized area thus collected can be checked by the computer for deviations, and in the case of excessive deviations, forgery can be recorded. In this way, authenticity checking of documents such as identity documents or passports can be carried out automatically.

[0006] In a first embodiment of the invention, it is provided that the standardized area of the document is known to the computer and stored in the computer or in a database accessible to the computer. The last two features allow both offline and online solutions. In the case of an online solution, the computer that identifies the document is connected via a network (such as the Internet) to a database in which the corresponding standardized area of the document is stored, so that the computer can compare these standardized areas with the stored areas and check for authenticity. In addition, the computer can directly read the standardized area from the database and thus know where, conversely, the individualized areas are, which individualized areas must then be masked accordingly so as not to affect the authenticity checking.

[0007] Furthermore, it is provided that the mask covering the individualized area is a static mask. A static mask makes sense when always the same document forms the basis of the authenticity checking method (for example, in passport checks at airport entry or exit). Here, it is obvious from the start that only passports are to be checked, so that the mask is correspondingly adapted to the individualized area of the passport and stored as a static mask. If different documents are to be checked, a dynamic mask is preferably used, which can be adapted to the different documents to be checked respectively.

[0008] Furthermore, it is preferably provided that the individualized regions of the document are covered by rectangular sub-masks (Teilmasken). With the aid of these rectangular sub-masks, the individualized regions can be covered particularly effectively, since especially in identity documents and travel documents, the individualized regions are designed as rectangles and can thus be covered particularly effectively by the rectangular sub-masks without covering parts of those standardized regions which would otherwise not be available for the authenticity check.

[0009] It is furthermore provided that the remaining standardized regions of the document are statistically evaluated by a computer. The authenticity check is always carried out in the standardized regions, where the deviations caused by the manufacturing method of the document are statistically collected and taught to the system by a learning process. Thus, the computer can learn which influences come from the manufacturing method of the document and which influences are caused by a possible forgery of the document and can thus reliably carry out the authenticity check.

[0010] In a further embodiment of the invention, it is provided that, before and / or during the method for authenticity check, the computer learns (gelernt) the standardized regions of the document. Once a new document is to be checked, this document is at least once or several times acquired by a reading device and provided to the computer, so that the computer can learn the characteristic properties of the standardized regions of this document by means of artificial intelligence and knows where the standardized regions of this document are located, so that the computer can cover the standardized regions of this document with a mask in a targeted manner.

[0011] In a further embodiment of the invention, it is provided that only part of the standardized regions of the document are acquired. Only acquiring part of the standardized regions can enable a faster evaluation of the document, since there are not as many standardized regions available for the authenticity check here. A disadvantage of this approach may be that if unknown influences cannot be corrected by acquiring as many standardized regions of the document as possible, these unknown influences may more strongly negatively affect the process for authenticity check. However, this can be avoided if particularly suitable standardized regions are selected for the authenticity check. These particularly suitable regions can also be pre-specified or learned by the computer in a targeted manner.

[0012] It is furthermore provided that the computer only evaluates the standardized regions marked with sub-masks. In this way, only some of the standardized regions are occupied by the sub-masks and thus not all standardized regions are evaluated, but only the standardized regions marked with sub-masks. Thus, in this way, not only the individualized regions are masked, but also certain defined standardized regions are additionally masked. Thus, a faster authenticity check method can be achieved, but possibly at the cost of reduced accuracy.

[0013] In addition, it is set that the selected area is compared with the evaluated documents stored in a computer or database, and a signal indicating forgery is generated when an unacceptable deviation occurs. In this way, forgeries are electronically marked and visually indicated to the control personnel, for example at the border or customs, so that the documents and the relevant persons can be additionally inspected if necessary, and the entry of forged documents can be prevented. Description of the Drawings

[0014] The present invention will be further described and illustrated with reference to two drawings. Among them:

[0015] Figure 1 shows an identity document, the individualized area of which is covered with a mask, and

[0016] Figure 2 shows another identity document, in which, in addition to the individualized area, certain defined standardized areas are also marked for partial acquisition. Detailed Description of the Invention

[0017] The method is used, for example, for the authenticity check of a document (such as Figure 1 the identity document 1 in). The static image part is extracted by placing, for example, a rectangular mask 2 on the variable image part. The sum of all sub-areas defines the static mask 2. The covered area of the document 1 is confirmed with the help of the static mask 2. Analysis or evaluation is carried out in the remaining area of the document 1. For this purpose, the static area is acquired by a scanner 4, and the data thus acquired is analyzed in a computer 5. By the computer 5, minute fluctuations occurring due to printing technology differences (Streuung) during the manufacture of the document 1 are analyzed in the static area in order to achieve a random pattern under the ideal printed image / information core that is itself static, the so-called PUF = Physical Unclonable Functions, which is determined by the printing original and printing parameters. These random patterns are the result of natural printing technology fluctuations (Fluktuation).

[0018] Fluctuations can be promoted by targeted measures, for example, by using special reproduction techniques that are favorable to fluctuations, such as raster, linear raster, guilloche, etc. The image data in Document 1 with variable data cleared is the basis for different verification methods. Therefore, an image segment is used as a fingerprint feature, as a feature for each item, an item-level watermark, which is also called a crystal picture code according to the method in the published document DE102020206060A1. In addition, this image segment is used for the training of artificial intelligence, where the so-called real image content with a masked printing part is the training data. As an alternative and supplement to this, replication technique data can also be used for training, and these replication technique data also carry a mask and may be artificially slightly changed if necessary to imitate small fluctuations. Therefore, the training data can also be partially generated artificially.

[0019] In Figure 2 , the static area is partially occupied by another mask 3, so that only certain determined static areas 3 are marked and set for evaluation. Therefore, in Figure 2 , not all static areas are evaluated, but a selection is made. For example, only particularly suitable areas 3 are collected, and thus the method is made faster and more reliable by less evaluation and more targeted evaluation.

[0020] List of reference numerals

[0021] 1 Document

[0022] 2 Mask

[0023] 3 Inspection area

[0024] 4 Scanner

[0025] 5 Computer

Claims

1. A method for authenticity checking of a printed document (1), wherein, The document (1) has at least one individualized area and at least one standardized area, wherein the printed document (1) is acquired by an electronic reading device (4), and the acquired data is sent to a computer (5). It is characterized in that When performing an authenticity check by means of an electronic reading device, in the computer (5), the individualized area is covered with a mask (2), and only the standardized area is evaluated in the computer (5) for authenticity check.

2. The method according to claim 1,[[]] It is characterized in that The individualized area of the document (1) is known to the computer (5) and is stored in the computer (5) or in a database accessible to the computer (5).

3. The method according to claim 1 or 2,[[]] It is characterized in that The mask (2) covering the individualized area is a static mask.

4. The method according to any one of the preceding claims,[[]] It is characterized in that The individualized area of the document (1) is covered with a rectangular sub-mask (2).

5. The method according to any one of the preceding claims,[[]] It is characterized in that The remaining standardized area of the document (1) is statistically evaluated by the computer (5).

6. The method according to any one of the preceding claims,[[]] It is characterized in that Before and during the method for authenticity check, the computer (5) is made to learn the standardized area of the document (1).

7. The method according to any one of the preceding claims,[[]] It is characterized in that Only the unmarked standardized area of the document (1) is partially acquired.

8. The method according to claim 7,[[]] It is characterized in that Only the standardized area marked with a sub-mask (3) is evaluated in the computer (5).

9. The method according to any one of the preceding claims,[[]] It is characterized in that The evaluated area is compared with the evaluated document (1) stored in the computer (5) or in the database, and a signal indicating forgery is generated in case of an unacceptable deviation.

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