Implementation of handwritten digit recognition system on multitransputer

We propose an off-line digit recognition algorithm through stroke classification and implement it on a multitransputer for parallel processing. We classify possible strokes in the digit into 6 strokes and make a decision tree for recognition. To enhance the performance of the recognition system the whole task is partitioned into parallel subtasks considering best trade-off between parallelism and overhead. Though parallel tasks were executed concurrently in a processor on star-networked multitransputer because of resource limits, a model of parallel recognition system is presented. By increasing the number of processors to allocate the internal parallel processes privately, parallel recognition system may be put into practical use.<>