Indonesia Card Anti-fake
Use the deep learning algorithm to detect whether the face in the certificate is PS, whether the certificate is a printed certificate, replayAttackd certificate, and the blur of the certificate,the illumination of the certificate
Code example:
Response for the input face is ps
Response for the input card face is not ps
Response for the input card is blur image
Response for the input card is print image in black and white
Response for the input card is replayAttackd image
Response for the input card is too dark or too bright
Response for recognition fail
Response for invalid request parameters
Response for invalid image format
Response for image size larger than 2M
Response for server error
HTTP request
POST https://api.ekycpro.com/v1/id_card/antifake
Request parameters
parameter | description |
---|---|
img | string , base64 encoded image. It is recommended that the image be less than 200KB, so it will be returned within 2 seconds, otherwise the return time will be longer. |
Response format
The scores below are reference values. It is recommended to adjust the scores in actual use.
fields | description |
---|---|
isPs | yes face is ps, no face is not ps |
ps score | this is the confidence level of the ps face, the range is [0, 100]. The default is greater than 80 points is ps face |
isBlur | yes is blur, no is not blur |
blur score | this is the confidence level of the blur card, the range is [0, 100]. The default is greater than 30 points is blur card |
isPrint | yes is print image in black and white, no is not print image |
print score | this is the confidence level of the print image, the range is [0, 100]. The default is greater than 70 points is print image |
isReplayAttack | yes is a replayAttackd image, no is not replayAttackd image |
replayAttack score | this is the confidence level of the replayAttack image,the range is [0, 100]. The default is greater than 60 points is replayAttackd image |
Status code
status | description |
---|---|
OK | charge , success |
FAIL | charge , image recognition error, please check input image |
INVALID_REQUEST | free , invalid request parameters |
IMAGE_INVALID_FORMAT | free , invalid image format, image format should be one of jpeg/jpg/png/bmp |
IMAGE_INVALID_SIZE | free , invalid image size, should be less than 2M |
INNER_ERROR | free , server error |