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Table 11 Overall comparison of OCR stages or systems hardware implementations

From: Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system

OCR algorithm Hardware platform Type of characters No. of testing characters Character size (cols×rows) Recognition rate (%) Processing time per character (ms) BRAM DSP FF LUT
[Proposed] template matching Zedboard (Zynq-7000) 10 Arabic digits 2790 22 × 34 99.50 0.63 10
18-Kbit
20 (DSP48E) 4247 5616
[5]
ANN
Mentor Graphics RC240 FPGA 25 English letters and 9 Arabic digits 3570 22 × 34 97.30 0.7 4
18-Kbit
8 (DSP48s) 2711 6868
[12] Feature Extraction Altera Stratix FPGA 10 Persian digits 100 10 × 7 100 47 ns N/A N/A N/A N/A
[13]
SVM
N/A 10 Arabic handwritten digits 120 16 × 16 83.30 N/A N/A N/A N/A N/A
[14]
SVM
TI C64 Fixed-Point DSP Platform 25 English letters and 9 Arabic digits N/A 6 × 9 94.00 2.88 N/A N/A N/A N/A
[17]
SOM-NN
Xilinx Virtex IV FPGA 22 English letters and 10 Arabic digits 8531 N/A 90.93 N/A N/A N/A 43,551 50,310
[30]
ANN
N/A 25 English letters and 9 Arabic digits 665 9 × 21 98.20 4.36 μs 351
9-Kbit
N/A N/A 13,909