Index for ingo

Ingold, A. Co Author Listing * Driver State Monitor from DELPHI

Ingold, R.[Rolf] Co Author Listing * Affixal Approach versus Analytical Approach for Off-Line Arabic Decomposable Vocabulary Recognition
* ApOFIS: an A priori optical font identification system
* Arabic newspaper page segmentation
* Are You Tampering with My Data?
* Binarization-Free Clustering Approach to Segment Curved Text Lines in Historical Manuscripts, A
* Combined Handwriting and Speech Modalities for User Authentication
* Configuration REcognition Model for Complex Reverse Engineering Methods: 2(CREM)
* dataset for Arabic text detection, tracking and recognition in news videos- AcTiV, A
* Detection of the Groove Position in Phonographic Images
* Enhancement of layout-based identification of low-resolution documents using geometrical color distribution
* Evaluation of SVM, MLP and GMM Classifiers for Layout Analysis of Historical Documents
* From searching to browsing through multimodal documents linking
* Gaussian Mixture Models for Arabic Font Recognition
* Gradient-domain degradations for improving historical documents images layout analysis
* Grayification: A meaningful grayscale conversion to improve handwritten historical documents analysis
* Groove Extraction of Phonographic Records
* Hidden Markov Models for Spoken Signature Verification
* HMM-Based Approach to Recognize Ultra Low Resolution Anti-Aliased Words, A
* ICDAR 2011: Arabic Recognition Competition: Multi-font Multi-size Digitally Represented Text
* ICDAR2013 Competition on Multi-font and Multi-size Digitally Represented Arabic Text
* ICPR2016 contest on Arabic Text detection and Recognition in video frames - AcTiVComp
* Impact of Character Models Choice on Arabic Text Recognition Performance
* Investigation of feature selection for historical document layout analysis
* Logical labeling of Arabic newspapers using artificial neural nets
* Minimizing User Annotations in the Generation of Layout Ground-Truthed Data
* Modeling Documents for Structure Recognition Using Generalized N-Grams
* Modelling Combined Handwriting and Speech Modalities
* Multi Resolution Layout Analysis of Medieval Manuscripts Using Dynamic MLP
* Multi-dimensional long short-term memory networks for artificial Arabic text recognition in news video
* New Arabic Printed Text Image Database and Evaluation Protocols, A
* New features for complex Arabic fonts in cascading recognition system
* New Forgery Scenario Based on Regaining Dynamics of Signature, A
* Newspaper page decomposition using a split and merge approach
* OCD: An Optimized and Canonical Document Format
* Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
* Optical Font Recognition Using Typographical Features
* Page segmentation of historical document images with convolutional autoencoders
* Physical Layout Analysis of Complex Structured Arabic Documents Using Artificial Neural Nets
* Reports of the DAS02 working groups
* Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture
* Scenario Model Advocating User-Driven Adaptive Document Recognition Systems, A
* Semi-automatic Annotation Tool for Medieval Manuscripts
* Semi-automatic news video annotation framework for Arabic text
* Spoken Handwriting Verification Using Statistical Models
* study on font-family and font-size recognition applied to Arabic word images at ultra-low resolution, A
* Text Line Extraction Using DMLP Classifiers for Historical Manuscripts
* Top-down Document Analysis Method for Logical Structure Recognition, A
* Towards a canonical and structured representation of PDF documents through reverse engineering
* Unity Is Strength: Coupling Media for Thematic Segmentation
* User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs, A
* Web-based cooperative document understanding
* XCDF: A Canonical and Structured Document Format
* Xed: a new tool for extracting hidden structures from electronic documents
Includes: Ingold, R.[Rolf] Ingold, R.
53 for Ingold, R.

Index for "i"


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