System and method for personal identification based on multimodal biometric information

1. A system for recognizing a person, comprising:

a housing including a surface;

a presence detecting sensor disposed beneath the surface and configured for sensing presence of a finger being placed on the surface;

a first light source disposed beneath the surface and configured to emit, in response to the finger being sensed, a radiation to the finger, resulting in finger reflected radiation;

a magnifying lens configured for magnifying the finger reflected radiation, resulting in magnified finger reflected radiation;

a mirror configured for reflecting the magnified finger reflected radiation, resulting in mirror reflected radiation;

a minifying lens configured for minifying the mirror reflected radiation, resulting in minified reflected radiation;

a first sensor configured for acquiring an image of a fingerprint of the person based on sensing the minified reflected radiation and transforming the minified reflected radiation into electrical signals to acquire the image; and

an identification module implemented on at least one processor and configured for recognizing the person based on the image.

2. The system of claim 1 , further comprising:

a prism disposed between the first light source and the surface, wherein the radiation is transmitted through the prism and reflected by the finger.

3. The system of claim 1 , further comprising:

a second light source including a pair of opposing and parallel light plates and disposed above the surface of the housing, wherein the finger is placed between the light plates; and

a second sensor configured for acquiring an image of a finger vein of the person based on the second light source.

4. The system of claim 3 , wherein the identification module is further configured to recognize the person based on the image of the finger vein of the person.

5. The system of claim 3 , wherein the first sensor and the second sensor are disposed beneath the surface of a housing of the system.

6. The system of claim 1 , wherein the identification module comprises:

a fingerprint image processing unit, implemented on at least one processor, configured for generating a fingerprint template based on the image of the fingerprint of the person;

a finger vein image processing unit, implemented on at least one processor, configured for generating a characteristic finger vein image based on the image of the finger vein of the person; and

an identification/verification unit, implemented on at least one processor, configured for recognizing the person based on the fingerprint template and the characteristic finger vein image.

7. The system of claim 6 , wherein the identification/verification unit comprises:

a fingerprint based matching unit, implemented on at least one processor, configured for comparing the fingerprint template with a plurality of stored fingerprint templates to identify a first set of candidates; and

a finger vein based matching unit, implemented on at least one processor, configured for comparing the characteristic finger vein image with each of a plurality of stored characteristic finger vein images to identify a second set of candidates.

8. The system of claim 7 , wherein:

the first set of candidates includes one or more candidates each of which is associated with a confidence score;

the second set of candidates includes one or more candidates each of which is associated with a confidence score; and

the person is recognized based on the confidence scores.

9. The system of claim 8 , wherein:

the person is recognized as a common candidate in the first and second sets of candidates; and

if there are multiple common candidates in the first and second sets of candidates, the person is recognized based on a combination of the confidence scores for each of the common candidates.

10. The system of claim 9 , wherein the combination of the confidence scores includes at least one of: a sum of, a weighted average of, a maximum of, and a minimum of the confidence scores.

11. The system of claim 6 , wherein the finger vein image processing unit comprises:

a finger vein segmentation unit configured for segmenting a region in the finger vein image where the finger vein is present to generate a segmented image;

a finger vein image normalizer configured for normalizing the segmented image to generate a normalized image;

a finger vein extractor configured for identifying blood vessels based on the normalized image to generate a binary image;

an image enhancement unit configured for enhancing the binary image to generate an enhanced image; and

an image compression unit configured for compressing the enhanced image to generate the characteristic finger vein image.

12. The system of claim 11 , wherein the finger vein image normalizer is configured for normalizing at least one of shape, size, direction, and gray level of the segmented image.

13. The system of claim 11 , wherein the finger vein extractor is configured for determining, for each pixel in the normalized image, whether the pixel represents a portion of a blood vessel based on a predetermined threshold.

14. The system of claim 7 , wherein comparing the characteristic finger vein image with each stored characteristic finger vein image comprises:

for each offset value of a plurality of offset values,

aligning the characteristic finger vein image with the candidate characteristic finger vein image based on a next offset value;

computing a matching score associated with the offset value based on a match between the characteristic finger vein image and the candidate characteristic finger vein image aligned using the offset value;

selecting a matching score from a plurality of matching scores corresponding to matches between the characteristic finger vein image and the candidate characteristic finger vein image using the plurality of offset values; and

designating the selected matching score as a confidence score of the candidate characteristic finger vein image.

15. The system of claim 1 , further comprising:

another presence detecting sensor disposed beneath the surface at a second end of the housing, and configured for sensing presence of a second portion of the finger, the second end being opposite the first end of the housing.