Likforman Sulem, L.[Laurence]
* 1991: expert vision system for analysis of Hebrew characters and authentication of manuscripts, An
* 1997: Image and Text Coupling for Creating Electronic Books from Manuscripts
* 2001: Name block location in facsimile images using spatial/visual cues
* 2002: comparative study between decision fusion and data fusion in Markovian printed character recognition, A
* 2003: Proper names extraction from fax images combining textual and image features
* 2004: Neural network-based proper names extraction in fax images
* 2005: Arabic handwriting recognition using baseline dependant features and hidden Markov modeling
* 2007: Combination of HMM-Based Classifiers for the Recognition of Arabic Handwritten Words
* 2007: Recognition of Broken Characters from Historical Printed Books Using Dynamic Bayesian Networks
* 2007: Text Line Segmentation of Historical Arabic Documents
* 2007: Text line segmentation of historical documents: a survey
* 2008: Recognition of degraded characters using dynamic Bayesian networks
* 2009: Combining Slanted-Frame Classifiers for Improved HMM-Based Arabic Handwriting Recognition
* 2009: Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
* 2010: A2iA-Telecom ParisTech-UOB System for the ICDAR 2009 Handwriting Recognition Competition, The
* 2010: Special issue on document recognition and retrieval 2009
* 2011: Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition
* 2011: Enhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering
* 2011: Writer Retrieval: Exploration of a Novel Biometric Scenario Using Perceptual Features Derived from Script Orientation
* 2013: Comparative Study of HMM and BLSTM Segmentation-Free Approaches for the Recognition of Handwritten Text-Lines
* 2013: Using the Web to Create Dynamic Dictionaries in Handwritten Out-of-Vocabulary Word Recognition
* 2015: Arabic handwritten document preprocessing and recognition
* 2015: BLSTM-based handwritten text recognition using Web resources
* 2015: Handwritten word recognition using Web resources and recurrent neural networks
* 2017: EMOTHAW: A Novel Database for Emotional State Recognition From Handwriting and Drawing
Includes: Likforman Sulem, L.[Laurence] Likforman-Sulem, L.[Laurence] Likforman-Sulem, L.
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Likforman, L.[Laurence]
* 2022: Minconvnets: a New Class of Multiplication-Less Neural Networks