Aspose.OCR for Java 新版本發表
Released: Jan 15, 2021
V21.1 中的更新
特性
- Added the ability to save recognition result in plain text, Microsoft Word, Office Open XML or ODF Text Document format.
修補程式
- Fixed bug with length of result lines.
Released: Nov 29, 2020
V20.11 中的更新
特性
- Added the ability to recognize a batch of images in a zip archive or in a folder. Pass archive name or folder name as a parameter and get an array of results from each page.
Released: Oct 22, 2020
V20.10 中的更新
特性
- Added the option to set a custom angle for skew correction.
- Extended API: Added the ability to choose language options.
Released: Sep 25, 2020
V20.9 中的更新
特性
- Added new JSON recognition result format.
- Added new API method:
- Send URI-link for recognition.
- Send recognition options as an object.
- Get recognition result as an object with different properties.
Released: Aug 31, 2020
V20.8 中的更新
特性
- Added a new Machine Learning (ML) model with improved symbol recognition.
Released: Jul 31, 2020
V20.7 中的更新
特性
- Added the ability to remove vertical and horizontal lines from tables.
- Added image recognition using GPU and CUDA technology (available in a separate assembly Aspose.OCR.Gpu).
Released: Dec 19, 2017
V17.11 中的更新
特性
- New Binary Classification provides better OCR quality.
- New Neural Network Player (NNNPlayer) provides better OCR performance.
Released: Jul 27, 2017
V17.6 中的更新
特性
- Added hOCR support for the creation of searchable PDFs.
- Improved logic to help set the space between words.
- Added Clusterizator to reduce the number of calls to OCR and use average images for OCR.
- Outlines and clustering splitters to separate touching letters.
Released: Apr 5, 2017
V17.03 中的更新
特性
- The metered licensing mechanism has been improved. The API will switch to unpaid mode if it fails while uploading consumption data. The Custom HostnameVerifier has been removed.
- Processing of deskewing skewed images has been improved.
Released: Mar 2, 2017
V17.02 中的更新
特性
- Improved gaussian filter mechanism.
- Improved upper and lower case character recognition mechanism.
修補程式
- Incorrect line splitter behaviour processing lines with 'i' letter.
- Exception within sort rectangles during layout detection.