TY - GEN
T1 - Robust reconstruction of damaged character images on the form documents
AU - Lee, Kwanyong
AU - Byun, Hyeran
AU - Lee, Yillbyung
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1998.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 1998
Y1 - 1998
N2 - It is very common that the filled-in character images in the form documents touch, cross, or overlap the formatted-line images. In that case, it is not easy to extract characters correctly because the shapes of characters are transformed by line images. In this paper, we propose a new method to reconstruct the character images damaged by the preprinted lines of documents. The method consists of two stages - the character decomposition stage and the character reconstruction stage. In the character decomposition stage, an input character is decomposed into some line-elements which are units of reconstruction, through the hierarchical steps. In the character reconstruction stage, the various reconstruction methods are used to restore the characters according to the 4 types of line-elements. To evaluate the performance of the proposed method objectively, we used simple recognition modules on CENPARMI handwritten digits and NIST handwritten alphabets. Experimental results showed that the difference of the recognition rates between the original characters without any damages by lines and the characters reconstructed by the proposed method is within about 1%, and the shapes of reconstructed character images are almost the same as those of the original ones.
AB - It is very common that the filled-in character images in the form documents touch, cross, or overlap the formatted-line images. In that case, it is not easy to extract characters correctly because the shapes of characters are transformed by line images. In this paper, we propose a new method to reconstruct the character images damaged by the preprinted lines of documents. The method consists of two stages - the character decomposition stage and the character reconstruction stage. In the character decomposition stage, an input character is decomposed into some line-elements which are units of reconstruction, through the hierarchical steps. In the character reconstruction stage, the various reconstruction methods are used to restore the characters according to the 4 types of line-elements. To evaluate the performance of the proposed method objectively, we used simple recognition modules on CENPARMI handwritten digits and NIST handwritten alphabets. Experimental results showed that the difference of the recognition rates between the original characters without any damages by lines and the characters reconstructed by the proposed method is within about 1%, and the shapes of reconstructed character images are almost the same as those of the original ones.
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U2 - 10.1007/3-540-64381-8_46
DO - 10.1007/3-540-64381-8_46
M3 - Conference contribution
AN - SCOPUS:84961369094
SN - 3540643818
SN - 9783540643814
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 149
EP - 162
BT - Graphics Recognition
A2 - Tombre, Karl
A2 - Chhabra, Atul K.
PB - Springer Verlag
T2 - 2nd International Workshop on Graphics Recognition, GREC 1997
Y2 - 22 August 1997 through 23 August 1997
ER -