#recognition speed of Aztec barcode

[file-formats-programming]

CodabloackF Barcode Support, Enhanced DataMatrix & Aztec Barcodes Processing using Java

What’s new in this release?

Aspose team is pleased to announce the new version of Aspose.BarCode for Java 16.12.0. The major development in this release is the enhancements incorporated in Aspose.BarCode API to improve the overall performance of the API. Improved recognition speed of Aztec coded barcode, improved processing of DataMatrix and support of CodabloackF coded barcode recognition with AllSupportedTypes property are top of the list. Processing of rotated DataMatrix barcode has also been improved in this release. There are some important enhancement part of this release, such as barcode recognition from a BMP image, Datamatrix barcode generation of type DataMatrixEccType.Ecc200 , reading Code39standard coded barcode, CodablockF coded barcode, ITF14 coded barcode,  Metered licensing mechanism, Process of Aztec barcode recognition, Processing of CodabloackF barcode and Processing of rotated DataMatrix barcode has been greatly improved.  Below is the list of main improved features and bug fixes added in this release.

Reading problem of DataMatrix barcode

Improve recognition speed for Aztec

Improve recognition speed for Aztec by reducing the number of passes

Include CodablockF and Coupons in Silverlight control

Incorrect recognition of CodabloackF with AllSupportedTypes

Reading Barcode from a BMP image is generating exception

Remove line offset for CodablockF (GraphicsUnit.Pixel)

The recognition performance of rotated DataMatrix barcodes has been improved

Too small quiet zone for ITF14 when border type is Frame or FrameOut

Creating a Datamatrix barcode with DataMatrixEccType.Ecc200 throws a null reference exception

Barcode reader is unable to recognize the barcode on an image

Unable to recognize PDF417 barcode from a drivers' license image

Dynabic.Metered: Aspose.BarCode has to be adjusted to the latest Dynabic.Metered version

 Newly added documentation pages and articles

Some new tips and articles have now been added into Aspose.BarCode for Java documentation that may guide users briefly how to use Aspose.BarCode for performing different tasks like the followings.

Generating Aztec Barcode

Control the Appearance of Code Text

Overview: Aspose.BarCode for Java

Aspose.BarCode is a Java based visual component for generation & recognition of 1D & 2D barcodes to support Java, web applications and J2ME platform. It supports 29+ barcode symbologies like MSI, QR, OneCode, Australia Post, Aztec, Code128, Code11, EAN128, Codabar, Postnet, USPS and also supports image output in GIF, PNG, BMP & JPG formats. Other features include barcode size & color settings, rotation angle & caption. You can render barcodes to images, printers, HTTP servlet response & graphical objects too.

More about Aspose.BarCode for Java

Homepage of Aspose.BarCode for Java

Download of Aspose.BarCode for Java

[blog-9series-solution-blog]

ML KIT & Its Feature Highlights

What is an ML Kit? ML Kit is a mobile SDK that brings Google’s machine learning to Android apps in easy to use format. Google announced the ML Kit in Google I/O 2018, it also became one of the interesting announcements for the mobile app development company. Various ML technologies, provided are Google Cloud Vision API, TensorFlow Lite, and the Android Neural Networks API together in a single SDK.

Feature Highlights ML Kit provides some awesome features that are available on device and cloud. Let’s take a look at these features. It takes some ML uses cases and decorates them in a beautiful API.

On device features – Text recognition – Face detection – Barcode scanning – Image labeling – Custom model inference

Cloud features – Text recognition – Image labeling – Landmark recognition

Text Recognition The issue of text detection in natural scene pictures is challenging because of the abandoned size, colour, background and alignment of the character. Text Recognition provides detection and recognition of textual information in videos, documents, images, and other sources.

ML Kit’s text recognition APIs allows you to recognize text in any Latin-based language. Text recognition can be an easy data entry for receipts, business cards. With the cloud-based Text recognition API, you can extract the text from any type of document and also keep track of the real-life objects.

For example, you can use text recognition to obtain the number of a credit card, license card, name of the credit card or license holder, and the date of expiry from the front of a card.

Face Detection Face detection is a process of detecting the face from the images. You can use this to identify key facial features and get the contours of faces. ML Kit’s Face Detection API has been designed to work on the device itself which makes it fast, accurate and proficient of identifying faces in real time.

Below are the features provided by face detection in ML Kit ~ Recognize and locate facial features Provide the coordinates of the ears, eyes,  nose, cheeks, and mouth of every face that was detected.

~ Get the outlines of facial features Easily extract the contours of identified faces and their eyes, eyebrows, lips, and nose.

~ Recognize facial expressions It determines a person is smiling and his eyes are open or close.

~ Track faces across video frames Get a detector for each individual person’s face that is detected. for example, do image manipulation on a particular person in a video stream.

~ Process video frames in real time Face detection is performed on the device and used in real-time applications, such as video manipulation.

Barcode scanning Barcode Scanning is done to interpret the data encoded in the barcodes. ML Kit barcode scanning is working on the device so it is easy to implement and make it work fast and accurate. Using the barcode scanning we will be able to encode the 2D barcode and also encode the data like wifi network credential.

Below are the features provided by face detection in ML kit ~ Reads most standard formats – Linear formats: Codabar, Code 39, Code 93, Code 128, EAN-8, EAN-13, ITF, UPC-A, UPC-E – 2D formats: Aztec, Data Matrix, PDF417, QR Code

~ Automatic format detection It supports scanning for all supported barcode formats immediately, without having to mention the format you are looking for. Or, enhances the scanning speed by limiting the detector to only the formats you’re interested in.

~ Extracts structured data Structured data that is stored by using one of the supported 2D formats are automatically interpreted. The supported information types comprise of the URLs, contact details, calendar events, email addresses, phone numbers, SMS message prompts, ISBNs, WiFi connection information, geographic location, and AAMVA-standard driver information.

~ Works with any orientation Barcodes are identified and scanned regardless of their orientation: right-side-up, upside-down, or sideways.

Image Labeling ML Kit’s Image Labeling is an API and model that can identify items in an image, and provide information about those items in the form of labels. On-device APIs can process the data quickly without an internet connection. This is helpful if you don’t want to utilize the mobile data of your users and you need fast processing.

The on-cloud APIs provide much more compelling processing capabilities. Thanks to Google Cloud Platform’s ML technology, however, these APIs need the Internet connection to continue to work. In case you are using the Google Cloud Platform, after 1000 requests you will have to make payment.

Example, if you have a Facebook or Instagram account, you might be familiar with face recognition. As soon as a user uploads a photo, Facebook will instantly suggest tags of your friends. Besides the tagging feature, image recognition also does the content translation for visually impaired people with screen readers. It also helps to identify irrelevant or objectionable images.

Landmark Recognition ML Kit’s landmark recognition API can provide well-known landmark labels directly from image pixels. It helps people better understand and maintain their photo collections. This API recognizes the number of famous landmarks over the world including bridges, building, place of worship etc. Landmark recognition provides the information about the images such as place name, a region of the image, coordinate of landmark etc. Landmark recognition API is fast and accurate. This API is free for 1000 uses of this API per month.

Custom Model Interface The custom model interface of ML kit provides you features. You can easily host your TensorFlow Lite models with the help of Firebase or bundle them with your app. Using the custom model for hosting provides your user updates with the latest version. It reduces your app’s binary size and provides automatically downloading of new versions of your model. It can automatically manage multiple model resources.

Conclusion ML Kit is one of the most interesting innovations of Google. The announcement of it had added a lot of excitement among the Android & iOS developers and is cool and fun to use too. It is highly recommended to start using ML Kit & play with its features to find your way out and check how it will be beneficial to you. Click Here if you want to get started right away.

9series is known for providing custom mobile app development services India. If you are looking for any such services then you have come to the right place. We have experts who will be able to provide you with the best solutions for your business using the ML Kit.  In one of our post, we also spoke about What is Core ML and What are its advantages & disadvantages.

Source: 9series

[twobeemag]

CodabloackF Barcode Support, Enhanced DataMatrix & Aztec Barcodes Processing Using Aspose.BarCode for Java 16.12.0

CodabloackF Barcode Support, Enhanced DataMatrix & Aztec Barcodes Processing Using Aspose.BarCode for Java 16.12.0

CodabloackF Barcode Support, Enhanced DataMatrix & Aztec Barcodes Processing Using Aspose.BarCode for Java 16.12.0 It Improved recognition speed of Aztec coded barcode and support of CodabloackF coded barcode recognition with AllSupportedTypes property are top of the list. There are some important enhancement part of this release, such as barcode recognition from a BMP image, Datamatrix barcode…

[file-formats-programming]

Apply Checksum Validation on Codabar Barocde & Enhanced GS1DataMatrix Generation using Java

What’s new in this release?

Aspose team is pleased to announce the new version of Aspose.BarCode for Java 17.03.0. The major development in this release is the enhancements incorporated in Aspose.BarCode API to improve the overall performance of the API. Improved recognition speed of Aztec coded barcode, improved processing of DataMatrix and support of CodabloackF coded barcode recognition with AllSupportedTypes property are top of the list. Processing of rotated DataMatrix barcode has also been improved in this release. There are some important enhancement part of this release, such as barcode recognition from a BMP image, Datamatrix barcode generation of type DataMatrixEccType.Ecc200 , reading Code39standard coded barcode, CodablockF coded barcode, ITF14 coded barcode,  Metered licensing mechanism, Process of Aztec barcode recognition, Processing of CodabloackF barcode and Processing of rotated DataMatrix barcode has been greatly improved.  Below is the list of main improved features and bug fixes added in this release.

Reading problem of DataMatrix barcode

Improve recognition speed for Aztec

Improve recognition speed for Aztec by reducing the number of passes

Include CodablockF and Coupons in Silverlight control

Incorrect recognition of CodabloackF with AllSupportedTypes

Reading Barcode from a BMP image is generating exception

Remove line offset for CodablockF (GraphicsUnit.Pixel)

The recognition performance of rotated DataMatrix barcodes has been improved

Too small quiet zone for ITF14 when border type is Frame or FrameOut

Creating a Datamatrix barcode with DataMatrixEccType.Ecc200 throws a null reference exception

Barcode reader is unable to recognize the barcode on an image

Unable to recognize PDF417 barcode from a drivers' license image

Dynabic.Metered: Aspose.BarCode has to be adjusted to the latest Dynabic.Metered version

 Newly added documentation pages and articles

Some new tips and articles have now been added into Aspose.BarCode for Java documentation that may guide users briefly how to use Aspose.BarCode for performing different tasks like the followings.

Applying Checksum Validation On Codabar

Applying Checksum Validation

Overview: Aspose.BarCode for Java

Aspose.BarCode is a Java based visual component for generation & recognition of 1D & 2D barcodes to support Java, web applications and J2ME platform. It supports 29+ barcode symbologies like MSI, QR, OneCode, Australia Post, Aztec, Code128, Code11, EAN128, Codabar, Postnet, USPS and also supports image output in GIF, PNG, BMP & JPG formats. Other features include barcode size & color settings, rotation angle & caption. You can render barcodes to images, printers, HTTP servlet response & graphical objects too.

More about Aspose.BarCode for Java

Homepage of Aspose.BarCode for Java

Download of Aspose.BarCode for Java

Online Documentation for Aspose.BarCode for Java

[file-formats-programming]

Generate QR Coded Barcode with Version Number, Enhanced Barcode Recognition from JPEG using Java

What’s new in this release?

Aspose team is pleased to announce the new version of Aspose.BarCode for Java 17.12.0.  The major development in this release is the support to generate QR coded barcode with its version number. This release also supports enhanced process of recognizing Code128 and OneD coded barcode. Enhanced speed and quality of 1D barcode recognition process functionality has also been incorporated in this release. Aspose.BarCode for Java now supports the functionality to generate QR coded barcode with its version information. This functionality allows the developers to generate QR coded barcode by setting its version number. A property BarCodeBuilder.setQRVersion has been introduced to define the said setting. How a developer can set QR version number is demonstrated in the code snippet given below. The code snippet contains comments that makes it self-explanatory. There are some important enhancements and bug fixes part of this release, such as  Process of setting license has been improved. Now API will show correct exception message in case license subscription is expired. Set license execution time has also been improved, Working of Aspose.BarCode in multi threaded environment has been enhanced, DatabarStacked barcode recognition process has been enhanced, Process of recognizing barcode from JPEG and TIFF image has been improved, Functionality to generate Datamatrix barcode has been updated and Process to recognize PDF417 and Code128 barcode has been enhanced. Performance improvements have been made to boost up the process.  Below is the list of main improved features and bug fixes added in this release.

Support to set QR version while generating barcode image

Improve speed and quality of the new 1D recognition algorithm

Setting License in Aspose.BarCode throws exception

Aspose.BarCode throw exception when used in multi-threading

Unable to recognize DatabarStacked barcode with big white space

Aspose.Barcode is unable to recognize Code128 barcode from JPG image

Unable to recognize barcode from a TIFF image

Performance issue while reading PDF417 and Code128 codes

Performance issue while reading PDF417 and Code128 codes

Performance issue while reading PDF417 and Code128 codes

Performance issue while reading PDF417 and Code128 codes

Performing BarCode recognition in C++ application is taking long time

Can't recognize code128 from a tif file

Performing Barcode recognition on a TIFF image and setting JVM 4GB is throwing exception : OutOfMemoryError

Generated Datamatrix barcode with Aspose.BarCode is not recognized by Aspose.BarCode

 Newly added documentation pages and articles

Some new tips and articles have now been added into Aspose.BarCode for Java documentation that may guide users briefly how to use Aspose.BarCode for performing different tasks like the followings.

How to set QR version

Create QR Barcode with Logo

Overview: Aspose.BarCode for Java

Aspose.BarCode is a Java based visual component for generation & recognition of 1D & 2D barcodes to support Java, web applications and J2ME platform. It supports 29+ barcode symbologies like MSI, QR, OneCode, Australia Post, Aztec, Code128, Code11, EAN128, Codabar, Postnet, USPS and also supports image output in GIF, PNG, BMP & JPG formats. Other features include barcode size & color settings, rotation angle & caption. You can render barcodes to images, printers, HTTP servlet response & graphical objects too.

More about Aspose.BarCode for Java

Homepage of Aspose.BarCode for Java

Download of Aspose.BarCode for Java

Online Documentation for Aspose.BarCode for Java

[file-formats-programming]

Generate QR Coded Barcode with Version Setting & Enhanced Recognizing Code128 Barcode using .NET

What's New in this Release?

The latest version of Aspose.BarCode for .NET 17.12.0 has been released. The major development in this release is the support to generate QR coded barcode with version setting. This release also supports enhanced process of recognizing Code128 and OneD coded barcode. Improved speed and quality of 1D barcode recognition process has also been incorporated in this release. Aspose.BarCode supports the functionality to generate QR coded barcode with its version information. This functionality allows to generate QR coded barcode by setting its version number. A property BarCodeBuilder.QRVersion has been introduced to define the said setting. How a developer can set QR version number is demonstrated in the code snippet given below. The code snippet contains comments that makes it self-explanatory. This release also fixes exceptions that were reported by Aspose valued customers, such as Process of setting license has been improved. Now API will show correct exception message in case license subscription is expired. Setting license time has also been improved, Working of Aspose.BarCode in multi-threaded environment has been enhanced, DatabarStacked barcode recognition process has been enhanced, Process of recognizing barcode from JPEG and TIFF image has been improved Functionality to generate Datamatrix barcode has been updated and Process to recognize PDF417 and Code128 barcode has been enhanced. Performance improvements have been made to boost up the process. Below is the list of new and improved features supported in this version.

Support to set QR version while generating barcode image

Improve speed and quality of the new 1D recognition algorithm

Fake recognition of OneD barco

Setting License in Aspose.BarCode throws exception

Aspose.BarCode throw exception when used in multi threading

Setting License in Aspose.BarCode takes too long

Unable to recognize DatabarStacked barcode with big white space 

Aspose.Barcode is unable to recognize Code128 barcode from JPG image

Unable to recognize barcode from a TIFF image

Datamatrix barcode is generated incorrectly 

Performance issue while reading PDF417 and Code128 codes        

Performance issue while reading PDF417 and Code128 codes

Performance issue while reading PDF417 and Code128 codes

Performance issue while reading PDF417 and Code128 codes        

Performing BarCode recognition in C++ application is taking long time     

Can't recognize code128 from a tif file

Newly added documentation pages and articles

Some new tips and articles have now been added into Aspose.BarCode for .NET documentation that may guide users briefly how to use Aspose.BarCode for performing different tasks like the followings.

How to set QR version

Generate BarCode With Segments Per Row

Overview: Aspose.BarCode for .NET

Aspose.BarCode is a .NET component for generation and recognition of Linear and 2D barcodes on all kinds of .NET applications. It supports WPF with 29+ Barcode symbologies like OneCode, QR, Aztec, MSI, EAN128, EAN14, SSCC18, Code128, Code39, Postnet, MarcoPDF417, Datamatrix, UPCA etc. Other features include barcode insertion in PDF, Word and Excel documents. Also take image output in BMP, GIF, JPEG, PNG and WMF formats. You can also control image styles such as background color, bar color etc.

More about Aspose.Report for .NET

Homepage of C# & VB.NET Barcode Component Aspose.BarCode for .NET

Download of Aspose.BarCode for .NET

Online documentation of Aspose.BarCode for .NET

[file-formats-programming]

Aspose.Newsletter February 2017: Spotlight on Award Winning APIs Suite Aspose.Total & Other News

Aspose Newsletter for February 2017 has now been published that highlights all the newly supported features offered in the recent releases.  It also includes information about award-Winning File Format APIs Aspose.Total, CodablockF Coded Barcode support with improved Barcodes Recognition, PDF/A _2U Standard with improved PDF Optimization, Show or Hide Pivot Items of Pivot Fields of the Pivot Table in an Excel Workbook, Export Visio Drawings with Selective Shapes, Images and Attachments data for Microsoft OneNote online format & Converting EMF to WMF format.

One APIs Suite: More than 100 Business File Formats

Award-Winning File Format APIs to create, edit, convert, render and manipulate all popular document formats including Word, Excel, PDF, PowerPoint, Outlook and Images from within your .NET, Java, Cloud and Android applications. Download Free Trial

Support of CodablockF Coded Barcode in Java Applications with improved Barcodes Recognition

Aspose.Barcode for Java 16.12 incorporates performance enhancements to improve recognition speed of Aztec coded barcode, improved processing of DataMatrix and support of CodabloackF coded barcode recognition with AllSupportedTypes property. Processing of rotated DataMatrix barcode has also been improved in this release. Take a look at all feature enhancements in this blog post.

Support of PDF/A _2U Standard with improved PDF Optimization in Java Applications

Aspose.Cells for Cloud now supports to show or hide pivot items of pivot field inside the pivot table as well as resize list object or table inside the worksheet. With Aspose.Cells for Cloud, you can work with all aspects of spreadsheets and save them to PDF, HTML, XPS and many other formats. Read this blog post about PDF/A _2U Standard support with improved PDF Optimization

Show or Hide Pivot Items of Pivot Fields of the Pivot Table in an Excel Workbook

Aspose team has worked on the documentation of all of our .NET and Java APIs to reorganize and restructure the contents and examples, so that the appropriate contents are grouped and linked for quick and easier access. This effort will improve the readability of the documentation as well. Please go through the documentation as per users needs and experience the improvements. Read more

Converting EMF to WMF format in your .NET and Java Applications

Programmers can now easily convert EMF file to WMF format using few simple lines of code within their .NET and Java applications. Please find code examples on respective blogs of Aspose.Imaging for .NET and Java.

Export Visio Drawings with Selective Shapes in .NET and Java Applications

Aspose.Diagram APIs now allows developers to select specific shapes and render Visio drawing into any other supported format. The output drawing keeps only the selected shapes, since this feature adds more control over the way of exporting Visio drawings. Check out Aspose.Diagram for Java and .NET for more details:

Images and Attachments data for Microsoft OneNote online format in .NET and Java Apps

Aspose.Note API provides support for images and attachments in Microsoft OneNote Online file format. It also fixes a number of bugs and improves the API functionality. Check our more in Aspose.Note for .NET and Java blog posts.

Updates about new Product Releases

Aspose.Total for .NET – a compilation of our latest .NET products.

Aspose.Cells for .NET 17.1.0 –Improved Custom Filtering Mechanism and Retrieve Paper Size of Worksheets

Aspose.Words for .NET 17.1.0 – Support of Metered Licensing, Inserting Online Video into Document

Aspose.Pdf for .NET 17.1.0 – Support to Reference Single Image for Multiple Times in a PDF file.

Aspose.Slides for .NET 16.12.0 – Support for improved HTML and SVG options

Aspose.OCR for .NET 16.12.0 - Metered licensing support for OMR

Aspose.Total for Java – a compilation of our latest Java products.

Aspose.Words for Java 17.1.0 - Support of Metered Licensing, Inserting Online Video into Document

Aspose.Cells for Java 17.1.0 - Improved Custom Filtering for Templates and Specify Number of Significant Digits.

Aspose.Pdf for Java 17.1.0  –Support to Reference Single Image for Multiple Times in a PDF file.

Aspose.Email for Java16.12.0 – Filtering Tasks by Status supported with Aspose.Email for Java

Aspose.Slides for Java 16.12.0 – Support for improved HTML and SVG options

Aspose.Total for Cloud – RTF compression implemented, and other enhancements.

Aspose.Total for Android – all the latest versions of our Android APIs.

Aspose.Total for SharePoint – a compilation of our latest SharePoint products.

Aspose.Total for Reporting Services– a compilation of our latest Reporting Services products

Aspose.Total for JasperReports – The latest versions of our JasperReports products.

Supporting User Groups and Conferences

Aspose is sponsoring a number of user groups and upcoming events, including:

Feb 14-15: DeveloperWeek Conference 2017 - San Francisco, CA, USA

Feb 20-22: Devnexus 2017 - Atlanta, GA, USA

  Would you like us to sponsor your user group? Get in contact: user.groups@aspose.com

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