Finding words in alphabet soup: Inference on freeform character recognition for historical scripts

[1]  Sargur N. Srihari,et al.  Handprinted character/digit recognition using a multiple feature/resolution philos-ophy , 1994 .

[2]  Michel Gilloux Hidden Markov Models in Handwriting Recognition , 1994 .

[3]  Frederick Jelinek,et al.  Statistical methods for speech recognition , 1997 .

[4]  R. Holte,et al.  Hierarchical A * : , 1999 .

[5]  Alessandro Vinciarelli,et al.  A Survey On Off-Line Cursive Script Recognition , 2000 .

[6]  Sargur N. Srihari,et al.  On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Venu Govindaraju,et al.  The Role of Holistic Paradigms in Handwritten Word Recognition , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Horst Bunke,et al.  Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System , 2001, Int. J. Pattern Recognit. Artif. Intell..

[9]  Alessandro Vinciarelli,et al.  A survey on off-line Cursive Word Recognition , 2002, Pattern Recognit..

[10]  Jitendra Malik,et al.  Recognizing objects in adversarial clutter: breaking a visual CAPTCHA , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[11]  Yee Whye Teh,et al.  Making Latin Manuscripts Searchable using gHMMs , 2004, NIPS.

[12]  Lior Wolf,et al.  Regularization Through Feature Knock Out , 2004 .

[13]  R. Manmatha,et al.  A search engine for historical manuscript images , 2004, SIGIR '04.

[14]  R. Manmatha,et al.  Holistic word recognition for handwritten historical documents , 2004, First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings..

[15]  Samy Bengio,et al.  Offline recognition of unconstrained handwritten texts using HMMs and statistical language models , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Rohit Prasad,et al.  Performance improvements to the BBN Byblos OCR system , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[17]  R. Manmatha,et al.  Boosted decision trees for word recognition in handwritten document retrieval , 2005, SIGIR '05.

[18]  David A. Forsyth,et al.  Searching for Character Models , 2005, NIPS.

[19]  Andy C. Downton,et al.  A comparison of binarization methods for historical archive documents , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[20]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[21]  Alan F. Smeaton,et al.  Word matching using single closed contours for indexing handwritten historical documents , 2006, International Journal of Document Analysis and Recognition (IJDAR).

[22]  R. Manmatha,et al.  Word spotting for historical documents , 2007, International Journal of Document Analysis and Recognition (IJDAR).

[23]  R. Manmatha,et al.  A hierarchical, HMM-based automatic evaluation of OCR accuracy for a digital library of books , 2006, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06).

[24]  Erik G. Learned-Miller,et al.  Data driven image models through continuous joint alignment , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .

[26]  Andrew McCallum,et al.  Exploring the use of conditional random field models and HMMs for historical handwritten document recognition , 2006, Second International Conference on Document Image Analysis for Libraries (DIAL'06).

[27]  Ioannis Pratikakis,et al.  An old greek handwritten OCR system based on an efficient segmentation-free approach , 2007, International Journal of Document Analysis and Recognition (IJDAR).

[28]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[29]  Andrea Vedaldi,et al.  Boosting Invariance and Efficiency in Supervised Learning , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[30]  Its'hak Dinstein,et al.  Binarization, character extraction, and writer identification of historical Hebrew calligraphy documents , 2007, International Journal of Document Analysis and Recognition (IJDAR).

[31]  David Mease,et al.  Boosted Classification Trees and Class Probability/Quantile Estimation , 2007, J. Mach. Learn. Res..

[32]  Antonio Torralba,et al.  Sharing Visual Features for Multiclass and Multiview Object Detection , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  R. Manmatha,et al.  Statistical models for text query-based image retrieval , 2008 .