Sentence examples for degraded documents from inspiring English sources

Although the improvement is not significant, these results show that the proposed method is able to handle noise-free inputs as existing methods, even though the proposed method is developed to handle the severely degraded documents.

In order to extract textlines in degraded documents like Fig. 1, we have to address the challenges in both binarization and textline detection steps.

Moreover, M. Valizadeh and E. Kabir in [31] improve the water flow model and propose an adaptive method to segment degraded document images.

We applied the HIIP technique to Thai and English degraded text documents and achieved accuracy rates over 90%.

This paper presents a novel technique for recognizing broken characters found in degraded text documents by modeling it as a set-partitioning problem (SPP).

In this paper, we propose a new textline detection method for degraded historical documents.

In this paper, we have proposed a textline detection algorithm for degraded historical documents.

This paper presents a textline detection method for degraded historical documents.

Thus, we believe that the main contribution of this paper is the development of a robust textline detection system for degraded historical document images, not just the improvement of each block.

Therefore, applying these methods to degraded handwritten historical documents is not straightforward.

Figure 5 A real recto verso grayscale document: (a) degraded recto; (b) degraded verso; (c) recto restored with ICA; (d) verso restored with ICA; (e) recto restored with CCA; (f) verso restored with CCA.