No abstract

No abstract

Optical Character Recognition (OCR) systems have been effectively developed for the recognition of printed characters of non-Indian languages. Efforts are underway for the development of efficient OCR systems for Indian languages, especially for Kannada, a popular South Indian language. We present in this paper an OCR system developed for the recognition of basic characters in printed Kannada text, which can handle different font sizes and font sets. Wavelets that have been progressively used in pattern recognition and on-line character recognition systems are used in our system to extract the features of printed Kannada characters. Neural classifiers have been effectively used for the classification of characters based on wavelet features. The system methodology can be extended for the recognition of other south Indian languages, especially for Telugu.

Optical Character Recognition (OCR) systems have been effectively developed for the recognition of printed characters of non-Indian languages. Efforts are on the way for the development of efficient OCR systems for Indian languages, especially for Kannada, a popular South Indian language. We present in this paper an OCR system developed for the recognition of basic characters (vowels and consonants) in printed Kannada text, which can handle different font sizes and font types. Hu's invariant moments and Zernike moments that have been progressively used in pattern recognition are used in our system to extract the features of printed Kannada characters. Neural classifiers have been effectively used for the classification of characters based on moment features. An encouraging recognition rate of 96·8% has been obtained. The system methodology can be extended for the recognition of other south Indian languages, especially for Telugu.

A series of styrene-butadiene-rubber (SBR) composites have been vulcanized with different weight ratios of general purpose furnace carbon black, viz., 10, 30, 50, 70, and 90%. The compounded SBR composites have been characterized for physicomechanical properties, such as surface hardness, tensile strength, percentage elongation at break, and tensile modulus. The dimensional stability of SBR composites has been enhanced by an increase in carbon black loading because of the polymer-filler interaction or reinforcing effect of filler. The electrical properties such as dielectric constant (") and dissipation factor (tan ) of the composites have been measured using a HP LCR meter. These properties have been measured at different frequencies and with a different amount of carbon black loading. A drastic improvement in the dielectric constant of the composites has been noticed because of an increase in carbon black loading in the SBR phase.