Travelled to:1 × Germany
1 × Japan
Collaborated with:E.Mandler T.Caesar A.Kaltenmeier J.Franke L.Andrews A.Braun
Talks about:recognit (5) system (3) preprocess (2) handwrit (2) classifi (2) written (2) script (2) markov (2) hidden (2) cursiv (2)
Person: Joachim M. Gloger
DBLP: Gloger:Joachim_M=
Contributed to:
1997199519951993Wrote 8 papers:
- ICDAR-1997-FrankeGKM #classification #comparison #markov #modelling #polynomial #recognition
- A Comparison of Gaussian Distribution and Polynomial Classifiers in a Hidden Markov Model Based System for the Recognition of Cursive Script (JF, JMG, AK, EM), pp. 515–518.
- ICDAR-1997-GlogerKMA #recognition
- Reject Management in a Handwriting Recognition System (JMG, AK, EM, LA), pp. 556–559.
- ICDAR-v1-1995-CaesarGM
- Estimating the baseline for written material (TC, JMG, EM), pp. 382–385.
- ICDAR-v2-1995-BraunCGM #image #preprocessor
- Preprocessing raw binary images by means of contours (AB, TC, JMG, EM), pp. 640–643.
- ICDAR-v2-1995-CaesarGM95a #recognition #using #word
- Using lexical knowledge for the recognition of poorly written words (TC, JMG, EM), pp. 915–918.
- ICDAR-1993-CaesarGM #feature model #preprocessor #recognition
- Preprocessing and feature extraction for a handwriting recognition system (TC, JMG, EM), pp. 408–411.
- ICDAR-1993-CaesarGM93a #adaptation #classification #scalability #set
- Utilization of large disordered sample sets for classifier adaptation in complex domains (TC, JMG, EM), pp. 790–793.
- ICDAR-1993-KaltenmeierCGM #markov #modelling #recognition
- Sophisticated topology of hidden Markov models for cursive script recognition (AK, TC, JMG, EM), pp. 139–142.