Title :
The IRESTE On/Off (IRONOFF) dual handwriting database
Author :
Viard-gaudin, Christian ; Lallican, Pierre Michel ; Knerr, Stefan ; Binter, Philippe
Author_Institution :
IRESTE, CNRS, Nantes, France
Abstract :
Databases for character recognition algorithms are of fundamental interest for the training of statistics based recognition methods (neural networks, hidden Markov models) as well as for benchmarking existing recognition systems. Such databases currently exist, but none of them gives access to the online data (pen trajectory) and offline data (digital images) for the same writing signal. We have developed such a dual on/off database, named IRONOFF. Currently, it contains a large number of isolated characters, digits, and cursive words written by French writers. We have designed this database so that, given an online point, it can be mapped at the correct location in the corresponding scanned image, and conversely, each offline pixel can be temporally indexed. Since we think this database is of interest for a large part of the research community, it is publicly available
Keywords :
document image processing; handwriting recognition; handwritten character recognition; optical character recognition; French writers; IRESTE On/Off dual handwriting database; IRONOFF dual handwriting database; character recognition algorithms; cursive words; digital images; digits; dual on/off database; hidden Markov models; isolated characters; neural networks; offline data; offline pixel; online data; online point; pen trajectory; scanned image; statistics based recognition methods; temporal indexing; writing signal; Character recognition; Data mining; Handwriting recognition; Image databases; Optical character recognition software; Performance evaluation; Silicon compounds; Statistics; Testing; Writing;
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
DOI :
10.1109/ICDAR.1999.791823