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* Text line segmentation of historical documents: a survey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