This thesis deals with different aspects of automatic online handwriting recognition, comprising methods for the entire recognition process, such as pre-processing, handwriting normalization, feature...
This thesis deals with different aspects of automatic online handwriting recognition, comprising methods for the entire recognition process, such as pre-processing, handwriting normalization, feature...
Audio-Visual analysis of Multimedia documents for automatic topic identification (2002)
Uri Iurgel, Steffen Werner, Andreas Kosmala, Frank Wallhoff
This paper presents a system that shall automatically scan multimedia data like TV or radio broadcasts for the presence of specific topics and, whenever topics of users ’ interests are detected,...
This thesis deals with different aspects of automatic online handwriting recognition, comprising methods for the entire recognition process, such as pre-processing, handwriting normalization, feature...
This thesis deals with different aspects of automatic online handwriting recognition, comprising methods for the entire recognition process, such as pre-processing, handwriting normalization, feature...
Duisburg, Universiẗat, Diss., 2000 (Nicht für den Austausch).
Andreas Kosmala, Gerhard Rigoll
The introduction of trigraphs offers a powerful method for the accuracy enhancement of handwriting modeling. A trigraph is a Hidden Markov Model (HMM) for a special character with defined adjacent...
On-Line Handwritten Formula Recognition Using Statistical Methods (1998)
Andreas Kosmala, Gerhard Rigoll
This paper presents the design of a system for the processing and recognition of online handwritten mathematical formulas. The Hidden Markov Model (HMM) based system is trained and evaluated with a...
Hidden Markov Model Based Continuous Online Gesture Recognition (1998)
Stefan Eickeler, Andreas Kosmala, Gerhard Rigoll
This paper presents the extension of an existing visionbased gesture recognition system using Hidden Markov Models (HMMs). Several improvements have been carried out in order to increase the...
Invariant Recognition of Hand-Drawn Pictograms Using HMMs with a Rotating Feature Extraction (1998)
Stefan Müller, Gerhard Rigoll, Andreas Kosmala, Denis Mazurenok
In this paper, we present a new feature extraction technique and a novel Hidden Markov Model (HMM) based classifier for the rotation, translation and scale invariant recognition of handdrawn...
On-line handwritten formula recognition using statistical methods (1998)
Andreas Kosmala, Gerhard Rigoll
This paper presents an approach for the recognition of on-line handwritten mathematical expressions. The Hidden Markov Model (HMM) based system makes use of simultaneous segmentation and recognition...
High Performance Real-Time Gesture Recognition Using Hidden Markov Models (1997)
Gerhard Rigoll, Andreas Kosmala, Stefan Eickeler
Abstract. An advanced real-time system for gesture recognition is presented, which is able to recognize complex dynamic gestures, such as "hand waving", "spin",...
A New Approach to Content-based Video Indexing Using Hidden Markov Models (1997)
Stefan Eickeler, Andreas Kosmala, Gerhard Rigoll
Abstract. This paper presents one of the first investigations of the use of Hidden Markov Models (HMMs) for content-based video indexing. A real-time video indexing system for TV news is described,...
Improved On-Line Handwriting Recognition Using Context Dependent Hidden Markov Models (1997)
Andreas Kosmala, Jörg Rottland, Gerhard Rigoll
This paper presents the introduction of context dependent Hidden Markov Models for cursive, unconstrained handwriting recognition with large vocabularies. Since context dependent models were...
An Investigation Of The Use Of Trigraphs For Large Vocabulary Cursive Handwriting Recognition (1997)
Andreas Kosmala, Jörg Rottland, Gerhard Rigoll
This paper presents an extensive investigation of the use of trigraphs for on-line cursive handwriting recognition based on Hidden Markov Models (HMMs). Trigraphs are context dependent HMMs...
Large Vocabulary On-Line Handwriting Recognition with Context Dependent Hidden Markov Models (1997)
Andreas Kosmala, Jörg Rottland, Gerhard Rigoll
. This paper presents a systematic investigation of the benefits resulting from the introduction of context-dependent modeling techniques in HMM-based large vocabulary handwriting recognition...
Gerhard Rigoll, Andreas Kosmala
This paper describes new feature extraction methods which can be used very effectively in combination with statistical methods for image sequence recognition. Although these feature extraction...
An Investigation of the Use of Trigraphs for Large Vocabulary Cursive Handwriting Recognition (1997)
Andreas Kosmala, Jörg Rottl, Gerhard Rigoll
This paper presents an extensive investigation of the use of trigraphs for on-line cursive handwriting recognition based on Hidden Markov Models (HMMs). Trigraphs are context dependent HMMs...
Andreas Kosmala, Gerhard Rigoll, Stéphane Lavirotte, Loïc Pottier
This paper presents an approach for the recognition of on-line handwritten mathematical expressions. The Hidden Markov Model (HMM) based system makes use of simultaneous segmentation and recognition...