Image Verifier
Image Verifier allows users to input two images and analyze their similarity, providing a result that indicates the level of similarity. This functionality can be applied to various use cases, making it easy for users to adapt it to their specific needs.
- This API allows users to compare the similarity between two images using an algorithm.
- It extracts hash values from two images and compares them to evaluate similarity.
Image_original
Specify the comparison area using four parameters: left, top, width, and height.
- If an area is specified, the image is cropped and pHash is compared.
- If no comparison area is specified, the entire image is used.
Image_target
Specify the comparison area using four parameters: left, top, width, and height.
- If an area is specified, the image is cropped and pHash is compared.
- If no comparison area is specified, the entire image is used.
Original Hash
P Hash value of the original image (hexadecimal)
Compare Hash
P Hash value of the Compare image (hexadecimal)
Hamming Distance
Hamming distance between the two hash values, indicating the similarity of the images. A smaller value means the images are more similar.
pHash (Perceptual Hash) : A hash generated based on the visual content of an image, reflecting human visual similarity.
aHash (Average Hash): A hash generated based on the average color of an image.
dHash (Difference Hash) : A hash generated based on the differences between adjacent pixels in an image.
Hamming Distance : A method to measure the difference between two hash values (binary strings). A smaller Hamming distance indicates greater similarity between the images.
For more details, please refer to our API Documentation