论文信息 - An Overview of the Tesseract OCR Engine

An Overview of the Tesseract OCR Engine

The Tesseract OCR engine, as was the HP Research Prototype in the UNLV Fourth Annual Test of OCR Accuracy, is described in a comprehensive overview. Emphasis is placed on aspects that are novel or at least unusual in an OCR engine, including in particular the line finding, features/classification methods, and the adaptive classifier.

Ray Smith

[1] Peter J. Rousseeuw,et al. Robust regression and outlier detection , 1987 .

[2] Barry A. Blesser,et al. Empirical tests for feature selection based on a psychological theory of character recognition , 1976, Pattern Recognit..

[3] Raymond Wensley Smith. The extraction and recognition of text from multimedia document images , 1987 .

[4] R. Smith. A simple and efficient skew detection algorithm via text row accumulation , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[5] George Nagy,et al. At the frontiers of OCR , 1992, Proc. IEEE.

[6] Mindy Bokser,et al. Omnidocument technologies , 1992, Proc. IEEE.

[7] István Marosi. Industrial OCR approaches: architecture, algorithms, and adaptation techniques , 2007, Electronic Imaging.

[8] Philip J. Schneider,et al. An algorithm for automatically fitting digitized curves , 1990 .

[9] George Nagy,et al. Optical character recognition: an illustrated guide to the frontier , 1999, Electronic Imaging.

[10] Stephen V. Rice,et al. The Fourth Annual Test of OCR Accuracy , 1995 .

[11] George Nagy,et al. Automatic prototype extraction for adaptive OCR , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.