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PDF417 Decoder SDK/LIB 1.5

PDF417 Decoder SDK/LIB 1.5

Publisher's description
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Antivirus report
"Decode PDF417 barcode image or video frame"
Published by AIPSYS Software Laboratory on 24 Nov 2011
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The PDF417 Barcode Reading SDK is a robust and efficient library for reading/decoding, searching barcodes, and detecting barcode orientation.

PDF417, or Portable Data File 417, is a two-dimensional stacked bar code capable of encoding over a kilobyte of data per label. This is useful for situations when a bar code will be used to store a substantial amount of data about an item, allowing developers to avoid database interaction. Since a PDF417 barcode symbol can store a substantial amount of information, item specific data, such as the content of a shipping manifest or equipment maintenance history, can be stored directly on the item, without requiring access to a database.

PDF417 is an error-correcting symbology designed for real-world applications where portions of labels can get destroyed in handling. PDF417 reading/decoding performs error correction by making calculations to reconstruct corrupted or undecoded portions of the symbol.

Developers can read barcodes regardless of orientation, skewing or flipping. Barcodes can be detected and read from specific areas of interest. and barcodes can be read from a variety of supported image file formats and can be acquired from scanners or digital cameras
Features
Can read barcode from low modulation grade or blurred symbol images.
Can read symbols with damaged borders.
Can read symbols with perspective distortions.
Can read symbols with most geometric distortions.
Can read symbols in environments with uneven illumination.
Support omni-directional symbol recognition.
Support multiple image formats such as tiff/bmp/jpg/png/gif/pcx etc.
Contain Error Correction Code (ECC) to fix damaged barcode.
Return the position of all recognized barcodes.
Can detect and decode barcode fast and correctly.

Antivirus information

Download3K has downloaded and tested PDF417 Decoder SDK/LIB on 31 Dec 1969 with some of Today's best antivirus engines and you can find below, for your convenience, the scan results:

  • Bitdefender:

    Clean

  • NOD 32:

    Clean

  • Avira:

    Clean

  • Kaspersky:

    Clean
PDF417 Decoder SDK/LIB Antivirus Report
Complete antivirus report

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