Gabor-based Kernel Self-optimization Fisher Discriminant for Optical Character Segmentation from Text-image-mixed Document

Jun-Bao Li, Meng Li, Jeng-Shyang Pan, Shu-Chuan Chu, John Roddick

    Research output: Contribution to journalArticle

    8 Citations (Scopus)

    Abstract

    Recognizing optical character from document image of text mixed by figure has its wide applications such as document auto-reading. Segmenting the document region from text-mixed is a crucial step of this system. The segmentation procedure includes two stages, one is to extract the texture features of each block based on Gabor filter, and second is to classify the texture features for segmentation based kernel self-optimization Fisher classifier. Some experiments are implemented to testify the performance of the proposed method.

    Original languageEnglish
    Pages (from-to)3119-3124
    Number of pages6
    JournalOPTIK
    Volume126
    Issue number21
    DOIs
    Publication statusE-pub ahead of print - 2015

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