Automated entry system for printed documents
Pattern Recognition
Determination of the Script and Language Content of Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Script Identification From Document Images Using Cluster-Based Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skew Angle Detection of Digitized Indian Script Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation Invariant Texture Features and Their Use in Automatic Script Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithm for text page up/down orientation determination
Pattern Recognition Letters
Content-Based Ima e Orientation Detection with Support Vector Machines
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
A fast orientation and skew detection algorithm for monochromatic document images
Proceedings of the 2005 ACM symposium on Document engineering
Automatic document orientation detection and categorization through document vectorization
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Automatic Detection of Document Script and Orientation
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Lampung - a new handwritten character benchmark: database, labeling and recognition
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
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The problem of orientation detection of all major printed Indian scripts is considered. For a large skew, the corrected document may be oriented in 0° or 180°. The OCR system will make fatal error if the document is in 180° orientation. We tested with several simple features like gray density, vertical/horizontal crossing counts, border directions and water reservoir area to detect orientation and found that the last one works uniformly good for all 11 classes of printed Indian scripts. Experimental results are presented on moderate data sets of all scripts.