Manuscript Character Recognition Overview of features for the Feature Vector

Authors

  • Marisa Raquel De Giusti Servicio de Difusión de la Creación Intelectual (SeDiCI), Universidad Nacional de La Plata, La Plata, Argentina
  • María Marta Vila Servicio de Difusión de la Creación Intelectual (SeDiCI), Universidad Nacional de La Plata, La Plata, Argentina
  • Gonzalo Luján Villareal Servicio de Difusión de la Creación Intelectual (SeDiCI), Universidad Nacional de La Plata, La Plata, Argentina

Abstract

The image recognizing process requires the identification of every logical object that compose every image, which first implies to recognize it as an object (segmentation) and then identify which object is, or at least which is the most likely one from the universe of objects that can be recognized (recognition). During the segmentation process, the aim is to identify as many objects that compose the images as possible. This process must be adapted to the universe of all objects that are looked for, which can vary from printed or manuscript characters to fruits or animals, or even fingerprints. Once all objects have been obtained, the system must carry on to the next step, which is the identification of the objects based on the called universe. In other words, if the system is looking for fruits, it must identify univocally fruits from apples and oranges; if they are characters, it m ust iden tify th e character “a” from the rest of the alphabet, and so on. In this document, the character recognition step has been studied. More specifically, which methods to obtain characteristics exist (advantages and disadvantages, implementations, costs). There is also an overview about the feature vector, in which all features are stored and analyzed in order to perform the character recognition itself.

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References

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Published

2006-10-02

How to Cite

De Giusti, M. R., Vila, M. M., & Villareal, G. L. (2006). Manuscript Character Recognition Overview of features for the Feature Vector. Journal of Computer Science and Technology, 6(02), 92–98. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/821

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Original Articles