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Thibedau in Paris did the first work in the early 1970s using digital scanning that employed total frustrated internal reflection The first production system was made by Fingermatrix to capture flats digitally in 1982 It was not until 1988 that the company was able to capture rolled impressions As one can imagine, capturing rolled impressions is tricky because either the camera needs to roll around the finger or the finger needs to be rolled over the camera lens to capture the round finger surface The way this is accomplished in a livescan fingerprint system is to roll the finger across the top of a platen in synchrony with the light source moving across the bottom of the platen One of the scanners Thibedau was working on was a half cylinder in which you could place the finger with a moving sensor turning around it That was similar to the design used by Identix in its first rolled finger scanner 10 years later Fingermatrix delivered the first system with rolled and flats to the San Francisco Police Department in 1988 A year later, Digital Biometrics Inc (DBI), now part of Identix, delivered the first grayscale fingerprint printer, the 1135R-40, so that grayscale fingerprint cards could be produced from livescan systems By the early 1990s, there was a movement to connect the digital output of livescan equipment to AFIS systems The FBI worked with the National Institute of Standards and Technology (NIST) to develop a standard for this interface At that point, four AFIS companies and three livescan companies had different, proprietary data records and image densities NIST held a series of three workshops with participation from law enforcement, industry, academia, and so on The result was an American National Standards Institute/National Institute of Standards and Technology (ANSI/ NIST) standard for the exchange of fingerprint images This standard was updated in 1997 to add mug shot exchange standards and again in 2000 to add variable density images and palm transactions The official title of the current version is Data Format for the Interchange of Fingerprint, Facial, & Scar Mark & Tattoo (SMT) Information, ANSI/NIST-ITL 1-2000 It is known informally in the fingerprint community as the ANSI/NIST Standard The standard was a compromise among the companies that wanted grayscale images and those who wanted binary images It was also a compromise between those who wanted 300 ppi and those who wanted to scan at 600 ppi.

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Use PDF Focus. Nice and easy. EDIT: And also. How to convert DOC into other formats using C#.

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20 Apr 2017 ... More from SautinSoft Team. Convert DOCX file to PDF file in C# (without using MS Office) - Step by Step. 1.6 Star. Convert PDF file to Word file in C# - Step by Step. Convert PDF file to Excel file in C# - Step by Step. Convert PDF file to XML file in C# - Step by Step. Convert DOC (DOCX) file to PDF file in C# - Step ...

Two types of octet headers, UNI and NNI, UNI Header NNI Header GFC generic flow control VPI virtual path identifier VPI virtual path identifier VC2 virtual channel identifier VC2 virtual channel identifier UNI user network interface PTI payload type identifier PTI payload type identifier CLP cell loss priority CLP cell loss priority HEC header error control HEC header error control UNI user network interface NNI node network interface

Figure 6-32 Searching the Customer Geography dimension for the word Monica brings back customers named Monica, but also a city with the word Monica in it

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4 Dec 2017 ... Top 3 PDF to Word Converters Open Source . Nemo PDF to Word . FREE PDF to Word CONVERTER 5.1. UNIPDF – FREE PDF to Word CONVERTER SOFTWARE. Click on "To Word " Step 2: Add Files, Set Options and Convert PDF to Word . Step 3: Converting PDF to Word Method for Mac Users.

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Jul 13, 2015 · Convert PDF to Word Using C# The first step will be to get the PdfBox package using the Nuget Package Manager. Now, import the following DLLs into your .cs file: The third step will be to install the DocX NuGet Package from the NuGet Package Manager: Let's read a PDF file and try to get the text from it.

with the 8-bit data word or byte and goes on up to 64 bits User data is parceled into a 48-octet payload portion of the cell while the header portion contains control, routing, and switching information The ATM cell format is shown in Figure 5-23 ATM is a form of packet-switched network technology where a cell is a highly de ned xed length unit of data User data is not tted into a

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