A New Hierarchical Approach for Recognition of Unconstrained Handwritten Numerals
@article{Wang1994ANH, title={A New Hierarchical Approach for Recognition of Unconstrained Handwritten Numerals}, author={Jhing-Fa Wang and Gwo-En Wang}, journal={IEEE International Conference on Consumer Electronics}, year={1994}, pages={116-117} }
A new hierarchical approach for the recognition of unconstrained handwritten numerals is proposed. In order to obtain a reliable skeleton of the observed character, some preprocessing operations including smoothing, noise removal, normalization, and a thinning process are first applied to each character. Then, some interesting feature points are extracted from this reliable skeleton of the character. In the first stage of preclassification, a set of structural features named four-zone codes is…
Tables from this paper
7 Citations
A multi-layer classifier for recognition of unconstrained handwritten numerals
- Computer ScienceProceedings of 3rd International Conference on Document Analysis and Recognition
- 1995
A three layer Bayesian neural network with 20 dimensional global feature vectors is designed for fine classification of the confusing classes of handwritten numerals to promote the recognition rate to be a practical OCR system.
Disconnected handwritten numeral image recognition
- Computer ScienceProceedings of the Fourth International Conference on Document Analysis and Recognition
- 1997
Experimental results obtained from testing laboratory-prepared data and handwritten numerals extracted from real Brazilian bank checks show that recognition rates of 85% and 92.4% were achieved, respectively.
Handwritten Numeral Recognition via Fuzzy Logic and Local Discriminating Features
- Computer ScienceBSDIA
- 1997
A system to recognize disconnected handwritten numerals based on the concept of fuzzy logic and discriminating local features extracted from numeral images and using three fuzzy sets to classify branch segments into straight line segments, parts of circles and circles is described.
Multiple classifier decision combination strategies for character recognition: A review
- Computer ScienceDocument Analysis and Recognition
- 2003
This paper explicitly reviews the field of multiple classifier decision combination strategies for character recognition, from some of its early roots to the present day and illustrates explicitly how the principles underlying the application of multi-classifier approaches to character recognition can easily generalise to a wide variety of different task domains.
Virtual Handwritten Recognition for Advanced Smart Learning Process
- Computer Science
- 2014
The proposed system can improve the standard of smart learning system by improving the way of teaching system by recognizing numeral or character input virtually using Support Vector Machines.
A Prototype for Brazilian Bankcheck Recognition
- Computer ScienceInt. J. Pattern Recognit. Artif. Intell.
- 1997
The proposed automatic bankcheck recognition prototype was intensively tested by real bankcheck data as well as simulated data providing the following performance results: for skilled forgery, 4.7% equal error rate; for random forgeries, zero Type I error and 7.3% Type II error; for bankcheck numerals, 92.7%" correct recognition rate.
Distinctive feature analysis for Thai handwritten character recognition based on modified stroke changing sequence
- Computer Science, PsychologyIEEE. APCCAS 1998. 1998 IEEE Asia-Pacific Conference on Circuits and Systems. Microelectronics and Integrating Systems. Proceedings (Cat. No.98EX242)
- 1998
From character head center, stroke changing sequence is drawn both horizontally and vertically to detect stroke change to improve recognition rate and speed.
References
SHOWING 1-10 OF 16 REFERENCES
A new approach for recognition of unconstrained handwritten numerals
- Computer ScienceProceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation
- 1993
A new approach for recognizing unconstrained handwritten numeral is proposed, using smoothing and coloring processes to smooth the shape and to obtain the number of components of the observed numeral.
Structural classification and relaxation matching of totally unconstrained handwritten zip-code numbers
- Computer SciencePattern Recognit.
- 1988
Handwritten numerical recognition based on multiple algorithms
- Computer SciencePattern Recognit.
- 1991
Recognition of isolated and simply connected handwritten numerals
- Computer SciencePattern Recognit.
- 1986
A combination of statistical and syntactical pattern recognition applied to classification of unconstrained handwritten numerals
- Computer SciencePattern Recognit.
- 1980
Computer Recognition of Handwritten Numerals by Polygonal Approximations
- Computer ScienceIEEE Transactions on Systems, Man, and Cybernetics
- 1975
The outlines of handwritten numerals are approximated by polygons using a method previously developed by Pavlidis and Horowitz [10]. This enables a simple evaluation of many intuitively descriptive…
Computer Recognition of Totally unconstrained Handwritten ZIP Codes
- Computer ScienceInt. J. Pattern Recognit. Artif. Intell.
- 1987
The techniques, image processing together with recognition, described in this thesis present a complete model of an optical reader for ZIP code recognition.
Thinning and stroke segmentation for handwritten Chinese character recognition
- Computer SciencePattern Recognit.
- 1982
A high-accuracy syntactic recognition algorithm for handwritten numerals
- Computer ScienceIEEE Transactions on Systems, Man, and Cybernetics
- 1985
A new set of topological features (primitives) for use with a syntactic classifier for high-accuracy recognition of handwritten numerals is proposed and made possible with minimal preprocessing of the test pattern.