Digit Re ognition using Minimum Phase Group

Digit String Re ognition

Off-line Handwriting Recognition Using Various Hybrid Modeling Techniques and Character N-grams

HYBRID MODELING TECHNIQUES AND CHARACTER N-GRAMS A. Brakensiek, J. Rottland, A. Kosmala, G. Rigoll Dept. of Computer S ien e, Fa ulty of Ele tri al Engineering Gerhard-Mer ator-University Duisburg 47057 Duisburg, Germany E-mail: fanja, rottland, kosmala, rigollg fb9-ti.uni-duisburg.de In this paper a system for o -line ursive handwriting re ognition is des ribed. The system is based on Hidden M...

Linear Time Language Re ognition on Cellular

Hmm Based High Accuracy Off-line Cursive Handwriting Recognition by a Baseline Detection Error Tolerant Feature Extraction Approach

HANDWRITING RECOGNITION BY A BASELINE DETECTION ERROR TOLERANT FEATURE EXTRACTION APPROACH W. WANG, A. BRAKENSIEK, A. KOSMALA, G. RIGOLL Dept. of Computer S ien e, Fa ulty of Ele tri al Engineering Gerhard-Mer ator-University Duisburg Bismar kstr. 90, 47057 Duisburg, Germany E-mail: fwwwang, anja, kosmala, rigollg fb9-ti.uni-duisburg.de Hidden Markov Models (HMMs) an model the similarity and va...

A New Approach to Segment Handwritten Digits

L. S. Oliveira1, E. Lethelier1, F. Bortolozzi1 and R. Sabourin2 1Pontif ia Universidade Cat oli a do Paran a LARDOC Rua Ima ulada Con ei ~ ao 1155, 80215-901 Curitiba, PR BRAZIL 2E ole de Te hnologie Superieure 1100, rue Notre Dame Ouest, Montr eal (Quebe ) H3C 1K3, CANADA E-mail: fsoares,edouard,fbortog ppgia.pu pr.br, sabourin gpa.etsmtl. a This arti le presents a new segmentation approa h ap...