This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We argue that the recognition scheme for a book could be considerably different from that designed for isolated pages. We employ learning procedures to capture the relevant information available online, and feed it back to update the knowledge of the system. Experimental results show the effectiveness of our design for improving the performance on-the-fly. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Meshesha, M., & Jawahar, C. V. (2007). Self adaptable recognizer for document image collections. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4815 LNCS, pp. 560–567). Springer Verlag. https://doi.org/10.1007/978-3-540-77046-6_69
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