Merge branch 'patch-1' into 'master'

Update README.md

See merge request !6

README.md

@@ -15,10 +15,10 @@
 - Develop a smart ID system using bio-metrics to identify and verify a person’s identification without carrying a physical portable card
 
 ### Sub objective: 
-                - •	Capturing bio metric data (Fingerprint and Face ID) of the citizens and storing their data.
-                - •	Scanning the face of the citizen using the face recognition to verify the citizen to get their details.
-                - •	Renewing the current ID address to a new address when the citizen shifts the house.
-                - •	Comparing the new ID photo with the previous ID photo
+                 •	Capturing bio metric data (Fingerprint and Face ID) of the citizens and storing their data.
+                 •	Scanning the face of the citizen using the face recognition to verify the citizen to get their details.
+                 •	Renewing the current ID address to a new address when the citizen shifts the house.
+                 •	Comparing the new ID photo with the previous ID photo
         
 ## Main Research Questions: 
 - Can we identify fake IDs? What happens if we lost the ID? Can people recognize a person’s ID photo after 20 years? How to change the ID” s address if we shift to a new house? Do we need to carry the ID card every time? Do we need to take ID card to every government/private institution?
@@ -30,12 +30,12 @@
 ### Individual Objectives: 
         
 #### Specific Objectives:
-        - •	To renew the current ID address to a new address if the citizen shifts the house
+         •	To renew the current ID address to a new address if the citizen shifts the house
 #### Sub Objectives:
-        - •	Documents are scanned using CamScanner as images
-        - •	Quality of the images are enhanced
-        - •	Documents are converted to the PDF format
-        - •	Documents are verified
+         •	Documents are scanned using CamScanner as images
+         •	Quality of the images are enhanced
+         •	Documents are converted to the PDF format
+         •	Documents are verified
     
 
 #### 2.IT19124940 – Sankalana G.L.A – IOT Device to capture the biometric data
@@ -46,11 +46,43 @@
 ### Individual Objectives: 
         
 #### Specific Objectives:
-        - •	•	Build a IOT device to capture the person face id and fingerprint.
+         •	Build a IOT device to capture the person face id and fingerprint.
 #### Sub Objectives:
-        - •	Detects & Capture the images of the face from the camera.
-        - •	Identify the electronic fingerprint of the finger from fingerprint scanner
-        - •	Stored the capture face ID and fingerprint on the database
+         •	Detects & Capture the images of the face from the camera.
+         •	Identify the electronic fingerprint of the finger from fingerprint scanner
+         •	Stored the capture face ID and fingerprint on the database
+         
+
+#### 3.IT19123950 – Madusanka G.A.P – IDENTIFYING AND VERIFYING A PERSON THROUGH FACE RECOGNITION.
+#### Research Question:  
+    - Why face recognition system to identify people?
+                
+### Individual Objectives: 
+        
+#### Specific Objectives:
+         •	Implement a face recognition system to identify and verify a person through the facial features.
+#### Sub Objectives:
+         •	Detects and locates the image of the face from the camera.
+         •	The image of the face is captured and analyzed to identify the facial landmarks of the person.
+         •	Person’s faceprint is compared against the database and the find the correct match.
+         
+
+#### 4.(04)	IT19214580 – S M Bulner – UPDATING THE IDENTITY PHOTO BY COMPARING FACIAL FEATURES OF AN INDIVDUAL.
+#### Research Question:  
+    - Can people recognize a person’s ID photo after 20 years?
+                
+### Individual Objectives: 
+        
+#### Specific Objectives:
+         •	To replace the existing ID photo with a new ID photo annually.
+#### Sub Objectives:
+         •	Capture facial data from an image taken using a camera. 
+         •	Compare unchanging facial characteristics identified from the newly taken image with the existing ID image.
+         •	Identify citizen by passing the facial data using a hybrid algorithm.
+         •  Update the new ID photo.
+    
+        
+