US Driver License OCR Ruby
The Ruby OCR SDK supports the Driver License API.
Using the sample below, we are going to illustrate how to extract the data that we want using the OCR SDK.
Quick-Start
require 'mindee'
# Init a new client
mindee_client = Mindee::Client.new(api_key: 'my-api-key')
# Load a file from disk
input_source = mindee_client.source_from_path('/path/to/the/file.ext')
# Parse the file
result = mindee_client.parse(
input_source,
Mindee::Product::US::DriverLicense::DriverLicenseV1
)
# Print a full summary of the parsed data in RST format
puts result.document
# Print the document-level parsed data
# puts result.document.inference.prediction
Output (RST):
########
Document
########
:Mindee ID: bf70068d-d3d6-49dc-b93a-b4b7d156fc3d
:Filename: default_sample.jpg
Inference
#########
:Product: mindee/us_driver_license v1.0
:Rotation applied: Yes
Prediction
==========
:State: AZ
:Driver License ID: D12345678
:Expiry Date: 2018-02-01
:Date Of Issue: 2013-01-10
:Last Name: SAMPLE
:First Name: JELANI
:Address: 123 MAIN STREET PHOENIX AZ 85007
:Date Of Birth: 1957-02-01
:Restrictions: NONE
:Endorsements: NONE
:Driver License Class: D
:Sex: M
:Height: 5-08
:Weight: 185
:Hair Color: BRO
:Eye Color: BRO
:Document Discriminator: 1234567890123456
Page Predictions
================
Page 0
------
:Photo: Polygon with 4 points.
:Signature: Polygon with 4 points.
:State: AZ
:Driver License ID: D12345678
:Expiry Date: 2018-02-01
:Date Of Issue: 2013-01-10
:Last Name: SAMPLE
:First Name: JELANI
:Address: 123 MAIN STREET PHOENIX AZ 85007
:Date Of Birth: 1957-02-01
:Restrictions: NONE
:Endorsements: NONE
:Driver License Class: D
:Sex: M
:Height: 5-08
:Weight: 185
:Hair Color: BRO
:Eye Color: BRO
:Document Discriminator: 1234567890123456
Field Types
Standard Fields
These fields are generic and used in several products.
Basic Field
Each prediction object contains a set of fields that inherit from the generic Field
class.
A typical Field
object will have the following attributes:
- value (
String
,Float
,Integer
,Boolean
): corresponds to the field value. Can benil
if no value was extracted. - confidence (Float, nil): the confidence score of the field prediction.
- bounding_box (
Mindee::Geometry::Quadrilateral
,nil
): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document. - polygon (
Mindee::Geometry::Polygon
,nil
): contains the relative vertices coordinates (Point
) of a polygon containing the field in the image. - page_id (
Integer
,nil
): the ID of the page, alwaysnil
when at document-level. - reconstructed (
Boolean
): indicates whether an object was reconstructed (not extracted as the API gave it).
Aside from the previous attributes, all basic fields have access to a to_s
method that can be used to print their value as a string.
Date Field
Aside from the basic Field
attributes, the date field DateField
also implements the following:
- date_object (
Date
): an accessible representation of the value as a JavaScript object.
Position Field
The position field PositionField
does not implement all the basic Field
attributes, only bounding_box, polygon and page_id. On top of these, it has access to:
- rectangle (
Mindee::Geometry::Quadrilateral
): a Polygon with four points that may be oriented (even beyond canvas). - quadrangle (
Mindee::Geometry::Quadrilateral
): a free polygon made up of four points.
String Field
The text field StringField
only has one constraint: it's value is a String
(or nil
).
Page-Level Fields
Some fields are constrained to the page level, and so will not be retrievable at document level.
Attributes
The following fields are extracted for Driver License V1:
Address
address (StringField): US driver license holders address
puts result.document.inference.prediction.address.value
Date Of Birth
date_of_birth (DateField): US driver license holders date of birth
puts result.document.inference.prediction.date_of_birth.value
Document Discriminator
dd_number (StringField): Document Discriminator Number of the US Driver License
puts result.document.inference.prediction.dd_number.value
Driver License Class
dl_class (StringField): US driver license holders class
puts result.document.inference.prediction.dl_class.value
Driver License ID
driver_license_id (StringField): ID number of the US Driver License.
puts result.document.inference.prediction.driver_license_id.value
Endorsements
endorsements (StringField): US driver license holders endorsements
puts result.document.inference.prediction.endorsements.value
Expiry Date
expiry_date (DateField): Date on which the documents expires.
puts result.document.inference.prediction.expiry_date.value
Eye Color
eye_color (StringField): US driver license holders eye colour
puts result.document.inference.prediction.eye_color.value
First Name
first_name (StringField): US driver license holders first name(s)
puts result.document.inference.prediction.first_name.value
Hair Color
hair_color (StringField): US driver license holders hair colour
puts result.document.inference.prediction.hair_color.value
Height
height (StringField): US driver license holders hight
puts result.document.inference.prediction.height.value
Date Of Issue
issued_date (DateField): Date on which the documents was issued.
puts result.document.inference.prediction.issued_date.value
Last Name
last_name (StringField): US driver license holders last name
puts result.document.inference.prediction.last_name.value
Photo
📄photo (PositionField): Has a photo of the US driver license holder
for photo_elem in result.document.photo do
puts photo_elem.polygon
end
Restrictions
restrictions (StringField): US driver license holders restrictions
puts result.document.inference.prediction.restrictions.value
Sex
sex (StringField): US driver license holders gender
puts result.document.inference.prediction.sex.value
Signature
📄signature (PositionField): Has a signature of the US driver license holder
for signature_elem in result.document.signature do
puts signature_elem.polygon
end
State
state (StringField): US State
puts result.document.inference.prediction.state.value
Weight
weight (StringField): US driver license holders weight
puts result.document.inference.prediction.weight.value
Questions?
Updated 2 months ago