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 |