Characteristics of Optical Text Recognition Programs

Authors:
V. L. Arlazarov;A. S. Loginov;O. A. Slavin
Affiliations:
Institute for Systems Analysis, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 9, Moscow, 117312 Russia;Moscow State Institute of Engineering Physics, Kashirskoe sh. 31, Moscow, 115409 Russia oslavin@cs.isa.ac.ru;Institute for Systems Analysis, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 9, Moscow, 117312 Russia
Venue:
Programming and Computing Software
Year:
2002

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Abstract

Characteristics of optical recognition programs are described from the standpoint of typical recognition program modules. Not only quality criteria for the separate character recognition but also parameters of other important stages of document input, such as character boundary segmentation, binarization, page segmentation, and storing results, are discussed in detail. The set of characteristics presented can be used for the optimization of both separate recognition stages and the whole process of document input.