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A method for Character Segmentation using Frequence Characteristics and Back Propagation Neural Network

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(4), pp.55-60
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Byung-Tae Chun 1 Chee-Yang Song 2

1한경대학교
2경북대학교

Candidate

ABSTRACT

The proposed method uses FFT(Fast Fourier Transform) and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The neural network are learned by character region(high frequency) and non character region(low frequency). The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 95% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image.

Citation status

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