Feature extraction methods for character recognition-A survey Export

@article{citeulike:816388, abstract = {This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the characters, such as solid binary characters, character contours, skeletons (thinned characters) or gray-level subimages of each individual character. The feature extraction methods are discussed in terms of invariance properties, reconstructability and expected distortions and variability of the characters. The problem of choosing the appropriate feature extraction method for a given application is also discussed. When a few promising feature extraction methods have been identified, they need to be evaluated experimentally to find the best method for the given application.}, author = {Due and Jain, Anil K. and Taxt, Torfinn}, citeulike-article-id = {816388}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/0031-3203(95)00118-2}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/0031-3203(95)00118-2}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6V14-3VSNG9F-T/2/4299d6ec297d5c2835fb74fee5fce588}, comment = {Este artigo fala sobre alguns m\'{e}todos de extra\c{c}\~{a}o de caracter\'{\i}sticas para utiliza\c{c}\~{a}o em reconhecimento de caracteres}, doi = {10.1016/0031-3203(95)00118-2}, journal = {Pattern Recognition}, keywords = {extraction, feature, methods}, month = {April}, number = {4}, pages = {641--662}, posted-at = {2006-08-29 02:12:35}, priority = {3}, title = {Feature extraction methods for character recognition-A survey}, url = {http://dx.doi.org/10.1016/0031-3203(95)00118-2}, volume = {29}, year = {1996} }

TY - JOUR ID - citeulike:816388 L3 - citeulike-article-id:816388 N2 - This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the characters, such as solid binary characters, character contours, skeletons (thinned characters) or gray-level subimages of each individual character. The feature extraction methods are discussed in terms of invariance properties, reconstructability and expected distortions and variability of the characters. The problem of choosing the appropriate feature extraction method for a given application is also discussed. When a few promising feature extraction methods have been identified, they need to be evaluated experimentally to find the best method for the given application. IS - 4 JF - Pattern Recognition EP - 662 TI - Feature extraction methods for character recognition-A survey VL - 29 SP - 641 KW - extraction KW - feature KW - methods N1 - Este artigo fala sobre alguns métodos de extração de características para utilização em reconhecimento de caracteres AU - Due AU - Jain, Anil AU - Taxt, Torfinn PY - 1996/04// UR - http://dx.doi.org/10.1016/0031-3203(95)00118-2 ER -