C-OCR | OCR project independently developed by Ctrip

 by   ctripcorp Java Version: Current License: No License

kandi X-RAY | C-OCR Summary

kandi X-RAY | C-OCR Summary

C-OCR is a Java library. C-OCR has no vulnerabilities and it has medium support. However C-OCR has 17 bugs and it build file is not available. You can download it from GitHub.

C-OCR is an OCR project independently developed by Ctrip, which mainly includes identification of travel-related documents and materials such as ID cards, passports, train tickets, and visas. The project consists of 4 parts, rejection, detection, identification, and post-processing.
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            kandi-support Support

              C-OCR has a medium active ecosystem.
              It has 2291 star(s) with 603 fork(s). There are 85 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 15 open issues and 2 have been closed. On average issues are closed in 4 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of C-OCR is current.

            kandi-Quality Quality

              C-OCR has 17 bugs (0 blocker, 1 critical, 7 major, 9 minor) and 838 code smells.

            kandi-Security Security

              C-OCR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              C-OCR code analysis shows 0 unresolved vulnerabilities.
              There are 4 security hotspots that need review.

            kandi-License License

              C-OCR does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              C-OCR releases are not available. You will need to build from source code and install.
              C-OCR has no build file. You will be need to create the build yourself to build the component from source.
              C-OCR saves you 3174 person hours of effort in developing the same functionality from scratch.
              It has 6827 lines of code, 450 functions and 66 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed C-OCR and discovered the below as its top functions. This is intended to give you an instant insight into C-OCR implemented functionality, and help decide if they suit your requirements.
            • Matches the image
            • Performs a match on the input image
            • Type of 4
            • Matches a set of matrices
            • Performs a match on the input image
            • Type of 4
            • Get the hash from an input stream
            • Applies DCT distortion to a function
            • Resize an image
            • Convert image to binary projection
            • Calculate the pre - separator
            • Generate separator point with binary data
            • Merge points
            • Returns a string representation of this feature vector
            • Extract feature from the image
            • Analyze the image
            • Extract feature
            • Get data from the specified image
            • Converts text to image
            • Computes the ATTRAN table
            • Combine two matrices
            • Analyze an image
            • Cut the image
            • Get binary byte array
            • Create a projection matrix
            • Compare string with target string
            • Get binary byte array
            • Analyzes the image and calculates gradient magnitude and sum
            Get all kandi verified functions for this library.

            C-OCR Key Features

            No Key Features are available at this moment for C-OCR.

            C-OCR Examples and Code Snippets

            No Code Snippets are available at this moment for C-OCR.

            Community Discussions

            QUESTION

            Property 'set' does not exist on type 'NgProgress' & Property 'complete' does not exist on type 'NgProgress'
            Asked 2018-Nov-03 at 15:48

            I'm new to this development of mobile applications and this is the code i got from a tutorial online here I have completely no idea how to do this

            this is the code from home.ts

            ...

            ANSWER

            Answered 2018-Nov-03 at 15:48

            The problem is your Angular's version doesn't compatible with ngx-progressbar's version. You can upgrade your angular or downgrade ngx-progressbar.

            In my project I downgraded ngx-progressbar to version 4. For example: npm install @ngx-progressbar/core@v4.3.0

            You can check the documentation in Git for more infomations. There are 2 docs 1 supports Angular >= 5 and another for Angular 2.x & 4.x

            Source https://stackoverflow.com/questions/52803410

            QUESTION

            PHP Out-of-memory when parsing very large xml file 2.77 GB
            Asked 2018-Feb-12 at 18:26

            when I am parsing 14 MB xml file everything works well, but when I need to parse 2.77 GB server crashes with out-of-memory.

            I tried to add memory and execution time with:

            ...

            ANSWER

            Answered 2018-Feb-12 at 18:26

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install C-OCR

            You can download it from GitHub.
            You can use C-OCR like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the C-OCR component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/ctripcorp/C-OCR.git

          • CLI

            gh repo clone ctripcorp/C-OCR

          • sshUrl

            git@github.com:ctripcorp/C-OCR.git

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