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Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
ISO/IEC 19794 Information technology—Biometric data interchange formats—Part 5: Face image data, or ISO/IEC 19794-5 for short, is the fifth of 8 parts of the ISO/IEC standard ISO/IEC 19794, published in 2005, which describes interchange formats for several types of biometric data.
Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. [3] A reliable face-detection approach based on the genetic algorithm and the eigen-face [4] technique: Firstly, the possible human eye regions are detected by testing all the valley regions in the gray-level image.
Linux Mint 2.0 'Barbara' was the first version to use Ubuntu as its codebase and its GNOME interface. It had few users until the release of Linux Mint 3.0, 'Cassandra'. [14] [15] Linux Mint 2.0 was based on Ubuntu 6.10, [citation needed] using Ubuntu's package repositories and using it as a codebase. It then followed its own codebase, building ...
Bob Amstadt, the initial project leader, and Eric Youngdale started the Wine project in 1993 as a way to run Windows applications on Linux.It was inspired by two Sun Microsystems products, Wabi for the Solaris operating system, and the Public Windows Interface, [10] which was an attempt to get the Windows API fully reimplemented in the public domain as an ISO standard but rejected due to ...
Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
Snap is a software packaging and deployment system developed by Canonical for operating systems that use the Linux kernel and the systemd init system. The packages, called snaps, and the tool for using them, snapd, work across a range of Linux distributions [3] and allow upstream software developers to distribute their applications directly to users.
This comparison of optical character recognition software includes: OCR engines, that do the actual character identification; Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines