e. Document Sorter document classification Software E.DS-E.DS
e. Document Sorter document classification Software E.DS-NTT DATA NJK

e. Document Sorter document classification Software E.DS
NTT DATA NJK


About This Product

The document classification software "E.DOCUMENT SORTER" realizes the efficient document classification and sorting of a wide variety of documents (such as documents, forms, etc.) in the company as an RPA. The document classification software "E.DOCUMENT SORTER" can be automatically categorized by matching input images scanned by scanning and faxes (multifunction devices) with lines and forms (ruled lines, characters, barcodes) registered documents and forms registered. Identification can use the information on the ruled lines, characters (OCR results), and barcode/QR code, so we can respond to various formats such as receipts, invoices, applications, reports, contracts, contracts, and orders. If you use the automatic classification software "E.DOCUMENT SORTER", you will automatically achieve documentation and sort and reduce the number of operations as an RPA. A wide variety of documents can be classified By freely registering a model of the character information, ruled line information, and barcode information, and a model, a variety of documents and forms can be categorized into a high -precision folder by freely registering AND and or functions. Document classification document examples "Specialized books / academic books", "newspapers / magazines", "textbooks / questions", "specifications / manuals", "contract / business reports", "business reports", "general conference", "board of directors", "books" "Reception and work instructions", "Work daily report / process list", "attendance management slip / time card", "questionnaire / consultation card", "order form / application form", "questionnaire / application postcard" "Entrance application / course delivery" ... etc. Document classification by OCR identification OCR is equipped with a high -performance recognition engine that has a proven track record in the type OCR software (OCR recognition language is Japanese/English). High -speed recognition (match / partial match) of characters within the specified range. Document classification by ruled line identification Equipped with a high -precision ruled algorithm that captures the ruled line information by the characteristics of lines and intersections. It is also possible to specify not only documents and forms, but also some areas as comparisons. Extract the square frame, L -shaped, cross -shaped ruled lines, and output results by modeling the template. * The ruled line is recommended for black or dark concentration. Barcode identification document classification Equipped with high -performance recognition engine that supports low quality image quality. Barcode (JAN, ITF, Code39, Code128, NW-7) and QR code are supported. * Not supported by micro QR. Multicore compatible (Server OS version only) The multi -core environment (an environment equipped with two or more processor core) is equipped with a function to handle each core at high speed. * This function is supported only for Server OS version. Image correction In order to improve document classification and identification, an image correction function such as straightforward correction, inclination correction, noise removal, etc. that correct the read image in advance is incorporated. Rename function Outputs are possible with any file name for images classified after identification. Other features Multiple folder monitoring The image folder for classification can monitor up to eight folders. Multi page TIFF compatible The following processing is possible for multi -page TIFF. ・ Identify and classify each page. ・ Only one page is identified, and collectively and classify. ・ Separated before and after the model registration form, output in another file (division output) Rejected function Unbelievable documents and forms can be output to any specified folder as a reject process. File notes It is possible to identify with the file name. Log output function Detailed identification processing history such as image correction contents, OCR results, and code identification results can be output.

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    e. Document Sorter document classification Software E.DS




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1 Models of e. Document Sorter document classification Software E.DS

Product Image Part Number Price (excluding tax) Barcode recognition Others Barcode recognition code height Barcode recognition code width Barcode recognition image size Barcode recognition margin Barcode recognition recognized barcode type Barcode recognition thin bar (fine space) size Body identification accuracy Body identification recognition lines Change of output file name Compatible models English recognition department document format English recognition department recognition Tarcase type English recognition department recognition typeface English recognition unit character size Image rotation, inclination correction Japanese Language Recognition Department Character Character Character Character Japanese Language Recognition Department document format Japanese Recognition Department Recognition Process Japanese Recognition Department character size Number of registered models Number of sorting service monitoring folders Operating environment support OS Operating memory Operation environment -compatible OS (Server version) Output image format (format conversion) JPEG Output image format (format conversion) PDF Output image format (format conversion) tiff Page division Post -treatment QR code recognition Others QR code recognition cell size QR code recognition error correction QR code recognition margin QR code recognition mode QR code recognition model QR code recognition version Reading image format Tilt of barcode recognition image Type perception
e. Document Sorter document classification Software E.DS-Part Number-E.DS

E.DS

$ 1,320.00〜 The color of the barcode is recommended for black (white background) is recommended 300dpi or higher 8.0mm or more 150mm or less A3 or less 3mm x [magnification] or more JAN, ITF, Code39, Code128, NW-7 2 pixels or more, 3 pixels in the case of fax images, 3 or more pixels, 2 pixels, 0.25mm (200 dpi)/0.17mm (300.125mm (400dpi) /0.08mm (600dpi), 3 pixels 0.375mm (200 dpi) /0.25mm (300DPI)/0.187mm (400dpi) I) /0.125mm (600dpi) ・ Because the L -shaped or crossed part is used, a straight table cannot be extracted.・ The diagonal line is not extracted as a ruled line.・ Extract the dotted line as a ruled line. The line identification is extracted as a dotted line, and the dotted line and the solid line are not distinguished by point identification.・ Extract the round corner table.・ If it exceeds 20%in the aspect ratio of the manuscript size, it will be uneven if the rectangular aspect ratio exceeds 40%. 5mm or more Changing the output file name using the following information can be changed, form name, incorporation date and time, input file name, extension Models in which the above OS works normally Character size mixed document support Alphabet, numbers, symbols Compatible with multi -fonts 1.8mm to 15mm square level (5 * to 45 points) * 600dpi images only 90 degrees/180 degrees/270 degrees/Paper -direction Automatic discrimination function, automatic inclination correction (maximum ± 10 degrees) Kanji (JIS 1st, 2nd level 420 characters), hiragana, katakana, alphabet, numbers, symbols, etc. Vertical / horizontal writing automatic discrimination, character size mixed document support Compatible with multi -fonts such as Mincho, Gothic, textbooks, etc. 1.8mm to 15mm square (about 5-45 points) * 5 points are recommended for 600 dpi recommended for scanning 200 dpi: 5-7mm, 14 to 20 points 300dpi: 3.5-5mm, 10 to 14 points 400 dpi: 3-4mm, 9 to 11 points 600dpi: 2-3mm 6-9 points 100 models per monitoring folder Up to 8 folders Windows11/10/8.1 * Compatible with each Japanese version * Please contact us separately for LTSC/LTSB support. * In the 64 -bit version, it operates in 32 -bit compatible mode (WOW64). * Macintosh and WindowsRT are not supported. 1GB or more recommended 2GB or more * Memory of parallelization x 140MB is required in addition to the above capacity. Windows11/10/8.1windowsServer2022/2019/2016/2012 * In the 64 -bit version, it operates in 32 -bit compatible mode (WOW64). * Macintosh and WindowsRT are not supported. Can be set for compression rates Converting to PDF with transparent text (OCR language is automatic, selected from Japanese, English, Japanese -Japanese mixed), you can select a straightforward correction * PDF output is not compatible with parallelization Single/multi -page TIFF compatible non -compression, G3/G4 compression can be selected from storage format Processing when multi -page is input ・ Divide for each page, divide the file in front of the output, registration model, identify only the first page, and output as it is on the multi -page. Can be started after sorting any program 400dpi or higher is recommended 5 x 5 pixels or more, the position detection pattern is 15 x 15 or more. L, M, Q, H Necessary 4 cells on top, bottom, left and right Numbers, alphanumeric, 8 -bit, kanji, mixture * Extended channels, interchange, FNC1 are not compatible Model 2 only * Model 1, Micro QR code is not compatible 1-40 * Not supported by the consolidated function of QR code represented by split BMP, TIFF, multi -page TIFF (non -compression, G3/G4 compression), JPEG, PDF * The maximum image size is A3, the resolution is 200 to 600 dpi, color * PDF with different vertical and horizontal resolution, and PDF in the model setting program is not compatible. Within ± 3 degrees Japanese English

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