Abstract: A method and device for non-contact detection of a thin medium (5) is disclosed. The device comprises a light source (1), an optical splitter (2), a reference plane (3), a linearly arrayed photoelectric detector (6), a signal processing module (4) and the thin medium (5).

Abstract: Provided are a device and method for identifying a paper currency fold. The device includes: a transparent protective body, configured to maintain components in the device to be clean; a laser source, configured to emit laser light a rectangular grating, configured to modulate the laser light into stripes which changes to be bright or dark according to a certain rule on a surface of a paper currency; an area array photoelectric sensor, configured to capture an image; an imaging lens group, configured to converge an image of the surface of the paper currency onto the area array photoelectric sensor; and an information processing module electrically connected with the area array photoelectric sensor, configured to process an image signal captured by the area array photoelectric sensor.

Abstract: A banknote recognition method based on sorter dust accumulation and a sorter. An effective region boundary is determined by using a gray-scale difference between a foreground and a background of a sensor image signal, an edge is searched for by comprehensive means of signal features of various sensors, detection direction change and secondary scanning, and finally the effective boundary of the image region is relocated, so that the detection rate and recognizing accuracy of the sorter can be greatly improved. The sorter comprises a banknote inlet, a banknote outlet, a banknote exit port, a conveying rail and a recognizing module. The recognizing module comprises two sets of CIS image sensors arranged oppositely, two sets of light transmitting plates arranged oppositely, a storage module, a detection module and a display module.

Abstract: A complex background-oriented optical character recognition method and device are provided. The method of the present invention includes: collecting image information to obtain a collected image; according to character characteristics, acquiring a target character region from the collected image, and taking same as a target object; extracting character edge information in the target object using a differential method to obtain an extracted image; superposing the target object and the extracted image to obtain a recovery image; conducting inversion and Gaussian filtration processing on the recovery image to obtain a processed image; searching for a target character location in the processed image; and recognizing the target character location. On this basis, accurate and quick locating and recognition of characters can be realized on the basis of effectively suppressing background noise and highlighting character information.

Abstract: The present invention relates to a character recognition method. Same comprises: step 1: reading in a character image; step 2: image preprocessing; step 3: character splitting; step 4: edge extraction; utilizing an edge detection operator to detect edge points of characters; step 5: feature extraction, where the features of each edge point of each character are all expressed with distances running from other edge points of the character to the edge point and are represented by eigenvectors (Pk, Pk, . . . P); step 6: feature processing, mapping the eigenvectors (Pk, Pk, . . . P) into a matrix, T, thus allowing all characters to be identical in eigenvector dimension; and, step 7: template matching recognition.

Abstract: A method and system for recognizing a bill with an abnormal thickness. The method comprises: collecting the thickness signals of the bills in multi-channel to obtain multi-channel thickness signals (501); preprocessing the multi-channel thickness signals (502); searching the mutation points inside the multi-channel thickness signals according to a predetermined rule to form a mutation point set (503); determining the abnormal thickness suspicious regions of the multi-channel thickness signals according to the mutation point set (504); determining the thickness signal abnormal regions of the multi-channel thickness signals according to the abnormal thickness suspicious regions, and marking the positions and the area of the thickness signal abnormal regions (505); fusing the positions and the area of the thickness signal abnormal regions of the multi-channel thickness signals to obtain a fused result (506); recognizing the fused result to obtain a recognizing result (507).

Abstract: An anti-counterfeiting feature generation method for a valuable document and an authentication method and device therefor. The anti-counterfeiting feature generation method for a valuable document uses the anti-counterfeiting feature information redundancy to hide accurate information about an anti-counterfeiting feature. In the generation method, the anti-counterfeiting feature of a valuable document has little change on the human perception, but a valuable document authentication device in a financial self-service equipment can effectively extract the hidden accurate information about an anti-counterfeiting feature from signals obtained by a sensor and conduct quantitative detection and authentication, thereby effectively authenticating whether the valuable document is counterfeit or not.

Abstract: A complex background-oriented optical character recognition method and device are provided. The method of the present invention includes: collecting image information to obtain a collected image; according to character characteristics, acquiring a target character region from the collected image, and taking same as a target object; extracting character edge information in the target object using a differential method to obtain an extracted image; superposing the target object and the extracted image to obtain a recovery image; conducting inversion and Gaussian filtration processing on the recovery image to obtain a processed image; searching for a target character location in the processed image; and recognizing the target character location. On this basis, accurate and quick locating and recognition of characters can be realized on the basis of effectively suppressing background noise and highlighting character information.

Abstract: A sheet-type medium deviation correction device comprises an upper holding plate, a lower holding plate, a front guide wheel set, a front end position detecting element, a lateral border position detecting unit, a deviation correction assembly, and a delivery assembly. The deviation correction assembly comprises a belt and a pair of belt pulleys. The delivery direction of the belt is perpendicular to the lateral border of the upper holding plate or the lower holding plate. The delivery assembly comprises a pair of delivery wheels. The delivery direction of the delivery wheels is perpendicular to that of the belt. The belt is used for delivering a sheet-type medium to the border of the belt to be aligned with the lateral border of the holding plate, thereby achieving the deviation correction purpose.

Abstract: A method and device for banknote identification based on thickness signal identification, allowing for simple and highly efficient identification and separation of abnormal banknotes by means of combining two thickness identification methods, namely an upward-facing area identification method and a downward-facing area identification method, for banknote identification.

Abstract: A valuable document authentication method and device. Whether a valuable document, an image sensor or a first sensor has shifted or not, the effect of authenticating the valuable document will not be affected, because a reference unit is needed to determine the location relationship between the image sensor and the first sensor before the valuable document is authenticated, thereby preventing an error occurring with the authenticated valuable document due to the fact that each sensor has shifted; moreover, when the valuable document is authenticated, even if the valuable document has shifted, the correctness of the valuable document authenticated can also be guaranteed by the conversion of the location relationship between a detection object and the sensor. Therefore, the solution provided in the present invention improves the identification accuracy and working efficiency of the authentication device, thereby providing convenience for users.

Abstract: An image calibration method and device. A deviation compensation coefficient of each pixel is calculated according to image data generated by strong and weak lighting parameters, and the deviation compensation coefficient is used to calibrate data of each image pixel collected and output by an image sensing unit. Therefore, the influence of inconsistency of each photosensitive element of the image sensing unit on the image greyscale can be eliminated, so that the effect of document medium image recognition is increased. The method in the embodiments of the present invention comprises: S1, acquiring a strong lighting parameter of each photosensitive element within a long exposure time and a weak lighting parameter thereof within a short exposure time; S2, acquiring image data of a sheet medium; and S3, according to the strong lighting parameter, the weak lighting parameter and the image data, calculating the calibrated image data of the sheet medium.

Abstract: The present invention relates to a recognition method and a recognition device for a sheet-type medium. The method comprises: step 1, collecting image information; step 2, splitting from the image information collected image information of an object-to-be-recognized; step 3, reconstructing image data of a feature area, extracting a feature on the reconstructed image data, and forming an eigenvector; and, step 4, sending the eigenvector into a standard data-trained classifier, and acquiring a recognition result. The method has an image reconstructed on the basis of feature area prior information, improves image quality, facilitates increased recognition accuracy, and, because only the image area that requires feature extraction is reconstructed, reduces storage space consumption. This not only saves large amounts of storage space and time and increases resource utilization rate, but also increases recognition accuracy and achieves an improved balance between resource and efficiency.

Abstract: A banknote recognition and classification method and system are provided. In the method and system, a large number of reliable samples which are easy to acquire currently are used to establish a sample signal degradation model which meets application requirements by means of a statistical method, sample information is input into the banknote sample signal degeneration model to acquire various banknote sample information corresponding to the brand new banknotes to be learned; the various banknote sample information is input to perform classifier learning, and a banknote classification model is output; then a classifier learns to perform classification and recognition on a sample to be recognized.

Abstract: A valuable file identification method includes step 1: selecting a characteristic area of the valuable file, and extracting a valuable file characteristic for last classification; step 2: an input valuable file is fast classified according to the extracted valuable file characteristic in step 1 to gain the banknote kind, denomination, direction and image quality information of the valuable file, and the banknote with better image quality and bad image quality are selected; step 3: an image restoration technique is utilized based on a partial differential equation to restore the old banknote image; step 4: the new banknote is directly identified and the old banknote is identified via the restored image to judge the authenticity of the current banknote; step 5: a result is output. The method enables eliminating restoration treatment for images comprising good quality and uninterested area, and saving time and improving system processing efficiency.

Abstract: The present invention relates to a character recognition method. Same comprises: step 1: reading in a character image; step 2: image preprocessing; step 3: character splitting; step 4: edge extraction; utilizing an edge detection operator to detect edge points of characters; step 5: feature extraction, where the features of each edge point of each character are all expressed with distances running from other edge points of the character to the edge point and are represented by eigenvectors (Pk, Pk, . . . P); step 6: feature processing, mapping the eigenvectors (Pk, Pk, . . . P) into a matrix, T, thus allowing all characters to be identical in eigenvector dimension; and, step 7: template matching recognition.

Abstract: A paper identifying method and a related device, used for accurately identifying soilage conditions of paper according to the recency degree of the paper. The method in an embodiment of the present invention comprises: obtaining a pixel gray value group of an image of input paper, the pixel gray value group being a combination of gray values of sampled pixels of a specified region of the input paper; obtaining an average value of gray values of all pixels in the pixel gray value group, and using same as a first average gray value; comparing the first average gray value with a recency threshold to determine the recency level of the input paper; obtaining the soilage depth of each of N regions of the input paper, the N being an integer greater than or equal to 1; and determining the soilage level of the input paper according to the soilage depth of the N regions, the region area and a soilage threshold, the soilage threshold corresponding to the recency level.

Abstract: A paper medium identifying device and an identifying method. The paper medium identifying device comprises an image data obtaining unit, a faulty wire detecting unit, an image dividing unit, a standard template data storage unit, a comprehensive analyzing unit, a new template generating unit and a judging unit. The paper medium identifying device divides the standard template into new sub-templates by dividing the template from a faulty wire position as margin, and then matches the sub-templates with a papery medium image which being identified so as to avoid the influence of faulty wires on the template match identification and improve the acceptance rate of the papery medium identifying device.

Abstract: An anti-counterfeiting feature generation method for a valuable document and an authentication method and device therefor. The anti-counterfeiting feature generation method for a valuable document uses the anti-counterfeiting feature information redundancy to hide accurate information about an anti-counterfeiting feature. In the generation method, the anti-counterfeiting feature of a valuable document has little change on the human perception, but a valuable document authentication device in a financial self-service equipment can effectively extract the hidden accurate information about an anti-counterfeiting feature from signals obtained by a sensor and conduct quantitative detection and authentication, thereby effectively authenticating whether the valuable document is counterfeit or not.

Abstract: A valuable document authentication method and device. Whether a valuable document, an image sensor or a first sensor has shifted or not, the effect of authenticating the valuable document will not be affected, because a reference unit is needed to determine the location relationship between the image sensor and the first sensor before the valuable document is authenticated, thereby preventing an error occurring with the authenticated valuable document due to the fact that each sensor has shifted; moreover, when the valuable document is authenticated, even if the valuable document has shifted, the correctness of the valuable document authenticated can also be guaranteed by the conversion of the location relationship between a detection object and the sensor. Therefore, the solution provided in the present invention improves the identification accuracy and working efficiency of the authentication device, thereby providing convenience for users.