How to delete the fingerprint data – Toshiba M5 User Manual

Page 66

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User’s Manual

Operating Basics

Avoid the following finger conditions for enrollment or recognition as

they may result in fingerprint enrollment errors or a drop in the

fingerprint recognition success rate

Soaked or swollen finger (e.g. after taking bath)

Injured finger

Wet finger

Soiled or oily finger

Extremely dry skin condition on finger

Observe the following to improve the fingerprint recognition success rate.

Enroll two or more fingers.

Enroll additional fingers if recognition failure occurs often using enrolled

fingers.

Check your finger condition. Changed conditions, such as injured,

rough, extremely dry, wet, soiled, dirty, oily, soaked, swollen fingers,

may lower the recognition success rate. Also if the fingerprint is worn

down or the finger becomes thinner or fatter, the recognition success

rate may be lowered.

The fingerprint for each finger is different and unique. Please ensure

that only the registered or enrolled fingerprint or fingerprints are used

for identification.

Check sliding position and speed (see the drawing below).

How to Delete the Fingerprint Data

Saved fingerprint data is stored in the Non-volatile memory inside the

fingerprint sensor. If you hand over the PC to others, or dispose of it, to do

the following operations is recommended.
1. Click start, point to All Programs, point to Protector Suite QL and

click Control Center.

2. The Protector Suite Software screen is displayed.
3. Click Fingerprints and click Delete.
4. Click Settings and click Fingerprint Storage Inspector.
5. The Fingerprint Storage Inspector screen is displayed. If other

fingerprint data is still displayed on the list. Select all fingerprint data

and click remove.

6. Check whether all fingerprint data was deleted on the fingerprint

Storage inspector screen.

Fingerprint Sensor Limitations

The fingerprint sensor compares and analyzes the unique

characteristics in a fingerprint.

A warning message will be displayed when recognition is abnormal or

recognition is not successful within a fixed duration.

The recognition success rate may differ from user to user.

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