Grg Banking Equipment Co., Ltd.

Tiancai Liang

Kun Wang

Weifeng Wang

Dingxi Chen

Yuanchao Yu

Yong Zhang

Dahai Xiao

Wenchuan Gong

Xiaofeng Jin

Zongbin Mu

Panfeng Luo

Fei Zhao

Guang Chen

Minjie Fang

Siwei Liu

Jianping Liu

Xiaoliang Wang

Daoyu Liu

Chengye Zhang

Yang Wang

Hongjun Wu

Guozhong Cao

Mengtao Liu

Qianwen Wang

Gaofeng Du

Yifei Zhang

Liangxu Chen

Keye Li

Xingyu Zhao

Dandan Xu

Yunyun Nie

Tingting Li

A paper medium skew correcting device includes: a support including a pair of fixed stop plates arranged in parallel; a skew correcting tapered roller assembly including a tapered roller, a reference plate located at a large end face of the tapered roller and a transmission shaft; a tapered cover plate covering on the tapered roller with a skew correcting passage formed between an inner wall of the tapered cover plate and an outer wall of the tapered roller, an auxiliary pressure roller mechanism is mounted on an outer wall of the tapered cover plate and is configured to press a paper medium against the outer wall of the tapered roller tightly, the tapered cover plate is provided with an opening; and a driving transmission assembly. The device fully uses combined action of centrifugal force and friction force to realize skew correction and conveying of the paper medium.

Method and device for correcting deviation of paper medium, and financial self-service device

A method for controlling a camera is provided. An image transmitted from a camera is received and detection is performed on the image, where if a target object is not detected, a search instruction for controlling the camera to rotate in a vertical direction is transmitted to the camera until the target object is detected in an image. Then posture parameters of the target object in the image are acquired, where if the posture parameters do not match a preset posture parameter criteria, a fine adjustment instruction for controlling the camera to rotate and move is transmitted to the camera, until the posture parameters of the target object match the preset posture parameter criteria. A device for controlling a camera and a financial device terminal are further provided.

Method and device for controlling camera and financial equipment terminal

A flattening device includes: a holder configured to support the following components; at least one flattening roller set, including a first flattening roller and a second flattening roller arranged oppositely at two sides of a sheet medium conveying path; and a power mechanism configured to drive the first and second flattening rollers to rotate. A surface of the first flattening roller is distributed with n arc-shaped grooves arranged in parallel with an axis direction of the first flattening roller, wherein n is a natural number greater than or equal to 1; and a surface of the second flattening roller is provided with at least one arc-shaped protruding portion in rolling engagement with the arc-shaped grooves of the first flattening roller; and wherein, the first flattening roller and the second flattening roller are in rolling engagement to form a conveying passage for the sheet medium.

Flattening device and financial self-service equipment

Provided are a method and a device for offline identity authentication. The method includes: acquiring two or more images for identity authentication to constitute a to-be-authenticated multivariate image group; extracting a concatenated PCA convolution feature of each of the images in the to-be-authenticated multivariate image group, to obtain feature vectors; fusing information on the images in the to-be-authenticated multivariate image group based on the feature vectors according to a score fusion strategy with a supervisory signal, to obtain a fusion vector; and inputting the fusion vector to a pre-trained SVM classifier to authenticate and determine whether the images in the to-be-authenticated multivariate image group are consistent with one another, to obtain an identity authentication result.

Offline identity authentication method and apparatus

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.

Paper currency fold recognition apparatus and method

A note image acquiring system includes: a fiber laser, a fiber beam splitter, a fiber collimator, a laser beam expander, a lithium niobate intensity modulator array, a waveform generator, a signal amplifier, a polarization beam splitter, a quarter-wave plate, an imaging lens group, a line-array photosensitive chip, an image information processing module and an image combining module. The note image acquiring system can improve resolution of details of a note image without needing to increase the number of photosensitive chip units per unit length of a linear array image sensor.

Note image acquisition system

A method and device for non-contact detection of a thin medium () is disclosed. The device comprises a light source (), an optical splitter (), a reference plane (), a linearly arrayed photoelectric detector (), a signal processing module () and the thin medium (). The method involves the following steps: acquiring time for targeted light which is emitted by the light source () and reflected by the thin medium () to the linearly arrayed photoelectric detector (), and acquiring time for reference light which is emitted by the light source () and reflected by the reference plane () to the linearly arrayed photoelectric detector (); according to the acquired time that the targeted light and the reference light arrive at the linearly arrayed photoelectric detector (), computing a first optical path and a second optical path corresponding to the targeted light and the reference light respectively, and acquiring quantity of bright fringes and dark fringes of interference fringes according to a predetermined computing manner by the signal processing module (); conducting difference comparison between the quantity of the bright fringes and dark fringes of the interference fringes and the quantity of the bright fringes and dark fringes of standard interference fringes according to the predetermined manner, and if the value of the comparison result is larger than the predetermined threshold value, determining that the foreign matters are positioned on the thin medium (). The detection method and device solves the technical problems that precision is low and measuring wavelength is long caused by an existing mechanical thickness measuring device, an infrared detector and an ultrasonic detector used to detect the foreign substance on the surface of the thin medium.

Method and device for non-contact detection of thin medium

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. The recognition method comprises: collecting a thickness signal of a banknote; preprocessing the thickness signal; utilizing an upward-facing area identification method to identify the thickness signal, thus acquiring an upward-facing processing identification result; utilizing a downward-facing area identification method to identify the thickness signal, thus acquiring a downward-facing processing identification result; merging the upward-facing identification processing result and the downward-facing processing identification result on the basis of a predetermined rule, acquiring a merged result; and, identifying the merged result, thus acquiring an identification result.

Method and device for banknote identification based on thickness signal identification

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.

Banknote recognition method based on sorter dust accumulation and sorter

A thickness detection device for sheet-type medium includes a fixing frame, a reference shaft and a detection assembly shaft. A reference roller is fixedly sleeved on the reference shaft. At least one detection roller is provided on the detection assembly shaft, and the detection roller is in an elastic contact with the reference roller. The detection roller is sleeved on the detection assembly shaft by a bracket, the bracket has an elongated hole through which the bracket is sleeved on the detection assembly shaft, an elastic element is provided between an end of the elongated hole and the detection assembly shaft, and the elastic element enables the detection assembly shaft to elastically maintain a certain distance from the end of the elongated hole. Thus, thickness signal obtained is not interfered by banknote displacements in other directions, and thickness detection of the full banknote can be achieved.

Thickness detection device for sheet medium

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.

Image calibration method and device

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.

Banknote recognition and classification method and system

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.

Complex background-oriented optical character recognition method and device

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 (P, P, . . . P); step 6: feature processing, mapping the eigenvectors (P, P, . . . P) into a matrix, T, thus allowing all characters to be identical in eigenvector dimension; and, step 7: template matching recognition. Because the features of each edge point of the characters are all expressed with the distances running from the other edge points to the edge point, the entirety of the features are ensured for the characters, and the difference in features are expanded for different characters, thus increasing character recognition accuracy.

Character recognition method

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. A new anti-counterfeiting feature which facilitates machine recognition is loaded to the valuable document, and a corresponding valuable document authentication device is configured to a financial self-service equipment, so that the financial self-service equipment can read the anti-counterfeiting feature of the valuable document by facilitating machine recognition, thereby improving the authentication accuracy of the financial self-service equipment to the valuable document.

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Guangdong, China

Tiancai Liang