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Extracting text objects from the PDF images is a challenging problem. Thetext data present in the PDF images contain certain useful information forautomatic annotation, indexing etc. However variations of the text due todifferences in text style, font, size, orientation, alignment as well ascomplex structure make the problem of automatic text extraction extremelydifficult and challenging job. This paper presents two techniques underblock-based classification. After a brief introduction of the classificationmethods, two methods were enhanced and results were evaluated. The performancemetrics for segmentation and time consumption are tested for both the models.

Enhanced Techniques for PDF Image Segmentation and Text Extraction