We propose subword spotting, a generalization of word spotting where the search is for groups of characters within words. We present a method for performing subword spotting based on state-of-the-art word spotting techniques and evaluate its performance at three granularitires (unigrams, bigrams and trigrams) on two datasets. We demonstrate three applications of subword spotting, though others may exist. The first is assisting human transcribers identify unrecognized characters by locating them in other words. The second is searching for suffixes directly in word images (suffix spotting). And the third is computer assisted transcription (semi-automated transcription). We investigate several variations of computer assisted transcription using subword spotting, but none achieve transcription speeds above manual transcription. We investigate the causes.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Davis, Brian Lafayette, "Subword Spotting and Its Applications" (2018). Theses and Dissertations. 7058.
subword, spotting, CAT, semi-automated, handwriting, n-gram, character