Asprise OCR
| Developer(s) | Asprise |
|---|---|
| Initial release | 1998 |
| Stable release | 5 |
| Development status | Active |
| Written in | Java, C#, VB.NET, C, C++, Objective-C, Delphi, Python |
| Operating system | Windows XP,7, 8, 10; Linux; Mac OS X; Solaris; AIX |
| Type | OCR |
| License | proprietary, commercial |
| Website |
asprise |
Asprise OCR is a commercial optical character recognition and barcode recognition SDK library that provides an API to recognize text as well as barcodes from images (in formats like JPEG, PNG, TIFF, PDF, etc.) and output in formats like plain text, xml and searchable PDF.
Asprise OCR has been in active development since 1997. Version 2.1 of the software has been reviewed by PC World.[1]
Many researchers have used Asprise OCR along with Abbyy to benchmark OCR performance. Paweł Łupkowski and Mariusz Urbanski from Adam Mickiewicz University in Poznań uses Asprise OCR version 4 and Abbyy to perform CAPTCHA recognition.[2] In the paper "Improving Optical Character Recognition Process for Low Resolution Images,"[3] researchers from Universiti Utara Malaysia uses Asprise OCR v4.0 as one of the benchmarks and proposes "a new method aimed at improving the image quality so as to reduce WER". Shuai Yuan from Cornell University implemented an image based room schedule retrieval system using Asprise OCR.[4] Seongwook Youn from University of Southern California found "By running a sample of 200 image e-mails, we determined that Asprise OCR was performing with an accuracy of 95%. It had the best detection rate among the approaches we analyzed; hence we decided to go with Asprise OCR for our research.".[5] Adil Farooq from the University of Engineering and Technology in Taxila implemented a speech based interface system for visually impaired persons.[6]
Hsieh analyzes the workflow of Asprise OCR engine and applies it to detect scoreboard for baseball videos.[7] Chaisri discusses how Asprise OCR can be used for imaging analysis of fax documents in IT Convergence and Services: ITCS & IRoA 2011.[8] Petra demonstrates how to perform feature selection for anti-spam using Asprise OCR.[9]
The following languages are supported by Asprise version 5:[10] Croatian, Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Icelandic, Indonesian, Italian, Malay, Maltese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish or Turkish. MRZ and MICR are supported.
References
- ↑ Asprise OCR SDK for Java by PC World
- ↑ SemCAPTCHA—user-friendly alternative for OCR-based CAPTCHA systems (Proceedings of the International Multiconference on Computer Science and Information Technology pp. 325–329)
- ↑ Improving Optical Character Recognition Process for Low Resolution Images
- ↑ Image Based Room Schedule Retrieval System
- ↑ Improved Spam Filtering by Extraction of Information from Text Embedded Image E-mail, SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing
- ↑ Implementation of a Speech Based Interface System for Visually Impaired Persons, Life Sci J 2013;10(9s):398-400
- ↑ Advanced Intelligent Computing Theories and Applications, Springer, ISBN 3540874402, Page 337-346
- ↑ IT Convergence and Services: ITCS & IRoA 2011, Springer, ISBN 9400725981, Page 616
- ↑ Advances in Data Mining: Applications in Medicine, Web Mining, ISBN 3540360360
- ↑ Asprise OCR Library SDK API for Java, C#, VB.NET
External links
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