Abstract: A method and a device for adaptively recognizing a value document are provided. The method includes: acquiring a collection parameter, and collecting a photoelectric signal of the value document; acquiring a photoelectric signal correction amount, and performing digital compensation on the photoelectric signal; performing feature extraction on the photoelectric signal subjected to the digital compensation to obtain a feature vector; inputting the feature vector to a preset classifier for recognition, to obtain a recognition result of the value document; acquiring a specific region on the value document; acquiring feature information of the photoelectric signal of the value document; calculating an accumulation component and a differential error of the value document; calculating a total correction amount of the photoelectric signal; updating the photoelectric signal correction amount and the collection parameter; and outputting the recognition result.

Abstract: A method and a device for adaptively recognizing a value document are provided. The method includes: acquiring a collection parameter, and collecting a photoelectric signal of the value document; acquiring a photoelectric signal correction amount, and performing digital compensation on the photoelectric signal; performing feature extraction on the photoelectric signal subjected to the digital compensation to obtain a feature vector; inputting the feature vector to a preset classifier for recognition, to obtain a recognition result of the value document; acquiring a specific region on the value document; acquiring feature information of the photoelectric signal of the value document; calculating an accumulation component and a differential error of the value document; calculating a total correction amount of the photoelectric signal; updating the photoelectric signal correction amount and the collection parameter; and outputting the recognition result.

Abstract: A self-correction recognition method and device for a valuable document recognition device is provided. The method includes: extracting a feature of a valuable document; determining whether the feature falls in a discriminant library of any preset category, and obtaining a substitutive centroid according to a feature centroid and the feature in a case that the feature falls in a discriminant library of any preset category; and updating the discriminant library of the category by replacing the feature centroid of the category with the substitutive centroid. The discriminant library is pre-constructed according to the feature centroid of the category, and the feature centroid is calculated from a feature of the category.

Abstract: Provided is a character segmentation and recognition method. The method includes: collecting image data to obtain a to-be-recognized image; positioning a character line candidate region on the to-be-recognized image; obtaining pre-set character line prior information, where the character line prior information includes the number of characters, character spacing and a character size; obtaining a corresponding segmentation point template based on the character line prior information; obtaining credible degrees of different positions on the character line candidate region traversed by the segmentation point template; determining a position with the highest credible degree as an optimal segmentation position; segmenting the character line candidate region based on the segmentation point template and the optimal segmentation position to obtain multiple single character regions; and performing character recognition on each of the single character regions to obtain a corresponding recognition result.

Abstract: Provided are a quality control method for banknote identification and a quality control system for banknote identification. The quality control method for banknote identification includes: obtaining a multispectral signal collected by a contact image sensor (CIS); extracting a first eigenvalue of the multispectral signal; obtaining a corresponding second eigenvalue according to the first eigenvalue and a pre-set correction conversion value; and inputting the second eigenvalue into a banknote classifier to obtain a corresponding banknote classification result.

Abstract: A banknote crack detection method and a banknote crack detection apparatus are provided. The banknote crack detection apparatus includes an image collection unit, configured to collect an optical transmission image of an inputted banknote, a pre-processing unit, configured to receive a banknote image signal collected by the image collection unit, and perform foreground region positioning and cutting on the banknote image signal; a crack detection unit, configured to detect whether a crack exists; and a determining unit, configured to determine whether the banknote is qualified according to a detection result of the crack detection unit; and a control unit, configured to control operation of each of the above units.

Abstract: A self-correction recognition method and device for a valuable document recognition device is provided. The method includes: extracting a feature of a valuable document; determining whether the feature falls in a discriminant library of any preset category, and obtaining a substitutive centroid according to a feature centroid and the feature in a case that the feature falls in a discriminant library of any preset category; and updating the discriminant library of the category by replacing the feature centroid of the category with the substitutive centroid. The discriminant library is pre-constructed according to the feature centroid of the category, and the feature centroid is calculated from a feature of the category.

Abstract: An overlapping bill detection method and apparatus are provided.

Abstract: A self-correction recognition method and device for a valuable document recognition device is provided. The method includes: extracting a feature of a valuable document; determining whether the feature falls in a discriminant library of any preset category, and obtaining a substitutive centroid according to a feature centroid and the feature in a case that the feature falls in a discriminant library of any preset category; and updating the discriminant library of the category by replacing the feature centroid of the category with the substitutive centroid. The discriminant library is pre-constructed according to the feature centroid of the category, and the feature centroid is calculated from a feature of the category.

Abstract: Provided is a character segmentation and recognition method. The method includes: collecting image data to obtain a to-be-recognized image; positioning a character line candidate region on the to-be-recognized image; obtaining pre-set character line prior information, where the character line prior information includes the number of characters, character spacing and a character size; obtaining a corresponding segmentation point template based on the character line prior information; obtaining credible degrees of different positions on the character line candidate region traversed by the segmentation point template; determining a position with the highest credible degree as an optimal segmentation position; segmenting the character line candidate region based on the segmentation point template and the optimal segmentation position to obtain multiple single character regions; and performing character recognition on each of the single character regions to obtain a corresponding recognition result.

Abstract: Provided are a quality control method for banknote identification and a quality control system for banknote identification. The quality control method for banknote identification includes: obtaining a multispectral signal collected by a contact image sensor (CIS); extracting a first eigenvalue of the multispectral signal; obtaining a corresponding second eigenvalue according to the first eigenvalue and a pre-set correction conversion value; and inputting the second eigenvalue into a banknote classifier to obtain a corresponding banknote classification result.

Abstract: A banknote crack detection method and a banknote crack detection apparatus are provided. The banknote crack detection apparatus includes an image collection unit, configured to collect an optical transmission image of an inputted banknote, a pre-processing unit, configured to receive a banknote image signal collected by the image collection unit, and perform foreground region positioning and cutting on the banknote image signal; a crack detection unit, configured to detect whether a crack exists; and a determining unit, configured to determine whether the banknote is qualified according to a detection result of the crack detection unit; and a control unit, configured to control operation of each of the above units.

Abstract: A method and a device for continuously detecting thickness of a sheet-type medium in a continuous conveying process can achieve a more accurate and stable detected thickness value. The device for detecting thickness of a sheet-type medium comprises a conveying roller; a detection roller, the detection roller being arranged opposite to the conveying roller, and an elastic displacement existing between the detection roller and the conveying roller; a plate spring, arranged by pressing opposite to the other side of the detection roller relative to the conveying roller; a sensor, arranged above the plate spring; and a thickness calculation unit, calculating a thickness value of the sheet-type medium according to a distance detection value and a standard zero value; and further comprises a zero value correction unit.

Abstract: An identification control method and system for a valuable document. The system comprises a collection part, an identification part, a control part, a transmission part and an upper computer. In the identification part, complete identification information about a valuable document is split into basic identification information and high-grade identification information. Only the basic identification information which is required by the control part is sent to the control part, and the information which is not required by the control part is directly sent to the upper computer by the identification part.

Abstract: Disclosed are a valuable-file identifying method and an identifying device thereof. The identifying method and the identifying device store image data of a valuable file using a fast storage method for image data. The fast storage method for image data comprises: compulsively converting collected single-byte image data into long-integer image data; using N data masks which correspond to each other through a “bitwise AND” operation to extract the long-integer image data in such a manner that N points are extracted from M*N points in each line and one point is extracted from L points in each column, where N is an integer greater than or equal to 2, L and M are all integers greater than or equal to 1; and integrating the data extracted respectively by N data masks through a “bitwise OR” operation to obtain coded image data and store same.

Abstract: Disclosed are a valuable-file identifying method and an identifying device thereof. The identifying method and the identifying device store image data of a valuable file using a fast storage method for image data. The fast storage method for image data comprises: compulsively converting collected single-byte image data into long-integer image data; using N data masks which correspond to each other through a “bitwise AND” operation to extract the long-integer image data in such a manner that N points are extracted from M*N points in each line and one point is extracted from L points in each column, where N is an integer greater than or equal to 2, L and M are all integers greater than or equal to 1; and integrating the data extracted respectively by N data masks through a “bitwise OR” operation to obtain coded image data and store same.

Abstract: An identification control method and system for a valuable document. The system comprises a collection part, an identification part, a control part, a transmission part and an upper computer. In the identification part, complete identification information about a valuable document is split into basic identification information and high-grade identification information. Only the basic identification information which is required by the control part is sent to the control part, and the information which is not required by the control part is directly sent to the upper computer by the identification part.