초록 ▼

Described is a method and system for barcode decoding. The method comprises receiving an input signal corresponding to a reflection of light from a bar code. The input signal is divided into a predetermined number of segments. Each segment includes a plurality of samples. Each of the segments is rep

Described is a method and system for barcode decoding. The method comprises receiving an input signal corresponding to a reflection of light from a bar code. The input signal is divided into a predetermined number of segments. Each segment includes a plurality of samples. Each of the segments is represented using at least one of the samples therefrom. At least one sample from each segment is analyzed to determine a location the bar code within the input signal.

대표청구항 ▼

What is claimed is: 1. A method, comprising: receiving an input signal corresponding to a reflection of light from a bar code; dividing the input signal into a predetermined number of segments, each segment including a plurality of samples; selecting particular samples from the plurality of samples

What is claimed is: 1. A method, comprising: receiving an input signal corresponding to a reflection of light from a bar code; dividing the input signal into a predetermined number of segments, each segment including a plurality of samples; selecting particular samples from the plurality of samples to generate an average sample for each segment; comparing the average samples to a threshold value; identifying a sequence of consecutive average samples greater than the threshold value; and determining a location of the bar code within the input signal based on the identified sequence. 2. The method according to claim 1, further comprising: generating the input signal at a predetermined sampling rate. 3. The method according to claim 2, wherein the sampling rate is at least approximately 30,000 data points per scan. 4. The method according to claim 1, wherein the dividing step further includes the following substep: processing a total variation of the input signal to generate the segments. 5. The method according to claim 1, further includes: selecting the particular samples at a first predetermined interval from the plurality of samples in each segment; and averaging the particular samples to generate an average sample for each segment. 6. The method according to claim 5, wherein the first predetermined interval is approximately every 16th sample. 7. The method according to claim 1, further comprising: appending the sequence with at least one sample on each side thereof to generate an extended sequence. 8. The method according to claim 7, further comprising: when the extended sequence represents the bar code, performing the following substeps: determining margins of the bar code with the extended sequence; identifying the margins in the input signal; and decoding a portion of the input signal between the margins. 9. The method according to claim 8, wherein the decoding step further includes the following substeps: selecting samples from the portion at a second predetermined interval; converting the samples into a luminance signal; and decoding the bar code using the luminance signal. 10. The method according to claim 9, wherein the second predetermined interval is a ratio of a width of a narrow element of the bar code to a minimum width required for decoding the narrow element. 11. The method according to claim 9, wherein the converting step further includes the following substep: generating an integral of the samples to yield the luminance signal. 12. The method according to claim 9, wherein, prior to the decoding step, further comprising: removing a trend from the luminance signal. 13. The method according to claim 9, wherein, the decoding step is performed using a high blur decoder. 14. A system, comprising: a bar code scanner acquiring information from a bar code and outputting a signal corresponding to a reflection of light from the bar code; and a central processing unit (CPU) receiving the signal and dividing the signal into a predetermined number of segments, each segment including a plurality of samples, the CPU selecting particular samples from the plurality of samples to generate an average sample for each segment and comparing the average samples greater than the threshold value and determining a location of the bar code within the input signal based on the identified sequence. 15. The system according to claim 14, wherein the bar code scanner is one of a laser bar code scanner and a flying spot laser bar code scanner. 16. The system according to claim 14, wherein the CPU selects the particular samples at a first predetermined interval from the plurality of samples in each segment and averages the particular samples to generate an average sample for each segment. 17. The system according to claim 16, wherein the first predetermined interval is approximately every 16th sample. 18. The system according to claim 14, wherein the CPU appends the sequence with at least one sample on each side thereof to generate an extended sequence. 19. The system according to claim 18, wherein, when the extended sequence represents the bar code, the CPU determines margins of the bar code within the extended sequence and identifies the margins in the input signal, the CPU decoding a portion of the input signal between the margins. 20. The system according to claim 19, wherein the CPU selects samples from the portion at a second predetermined interval and converts the samples into a luminance signal, the CPU decoding the bar code using the luminance signal. 21. The system according to claim 20, wherein the second predetermined interval is a ratio of a width of a narrow element of the bar code to a minimum width required for decoding the narrow element. 22. The system according to claim 21, wherein the CPU removes a trend from the luminance signal prior to decoding the bar code.