Quantitative analysis of preprocessing techniques for the recognition of handprinted characters

Author:

Güdesen A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference11 articles.

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2. Vorverarbeitungsmethoden und ihre quantitative Beurteilung für die Erkennung handgedruckter Schriftzeichen;Güdesen,1975

3. Introduction to Statistical Pattern Recognition;Fukunaga,1972

4. Eine Theorie zur quantitativen Beschreibung und Erkennung von Mustern;Niemann;NTZ,1969

5. An improved series expansion for pattern recognition;Niemann;NTZ,1971

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1. Path Word;Proceedings of the 20th ACM International Conference on Multimodal Interaction;2018-10-02

2. Investigation of Normalization Techniques and Their Impact on a Recognition Rate in Handwritten Numeral Recognition;Schedae Informaticae;2010-12-01

3. Handwritten digit recognition: investigation of normalization and feature extraction techniques;Pattern Recognition;2004-02

4. Aspect Ratio Adaptive Normalization for Handwritten Character Recognition;Advances in Multimodal Interfaces — ICMI 2000;2000

5. A NEW STRUCTURAL TECHNIQUE FOR RECOGNIZING PRINTED ARABIC TEXT;International Journal of Pattern Recognition and Artificial Intelligence;1995-02

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